{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ad9fc412-9fc0-4d85-9c7e-46d1b8640e0c",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "── \u001b[1mAttaching packages\u001b[22m ────────────────────────────────────────────────────────────────────────────────────────────── tidyverse 1.3.2 ──\n",
      "\u001b[32m✔\u001b[39m \u001b[34mggplot2\u001b[39m 3.3.6     \u001b[32m✔\u001b[39m \u001b[34mpurrr  \u001b[39m 0.3.4\n",
      "\u001b[32m✔\u001b[39m \u001b[34mtibble \u001b[39m 3.1.8     \u001b[32m✔\u001b[39m \u001b[34mdplyr  \u001b[39m 1.0.9\n",
      "\u001b[32m✔\u001b[39m \u001b[34mtidyr  \u001b[39m 1.2.0     \u001b[32m✔\u001b[39m \u001b[34mstringr\u001b[39m 1.4.0\n",
      "\u001b[32m✔\u001b[39m \u001b[34mreadr  \u001b[39m 2.1.2     \u001b[32m✔\u001b[39m \u001b[34mforcats\u001b[39m 0.5.1\n",
      "── \u001b[1mConflicts\u001b[22m ───────────────────────────────────────────────────────────────────────────────────────────────── tidyverse_conflicts() ──\n",
      "\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mfilter()\u001b[39m masks \u001b[34mstats\u001b[39m::filter()\n",
      "\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mlag()\u001b[39m    masks \u001b[34mstats\u001b[39m::lag()\n",
      "Loading required package: permute\n",
      "\n",
      "Loading required package: lattice\n",
      "\n",
      "This is vegan 2.5-7\n",
      "\n",
      "\n",
      "Attaching package: ‘patchwork’\n",
      "\n",
      "\n",
      "The following object is masked from ‘package:cowplot’:\n",
      "\n",
      "    align_plots\n",
      "\n",
      "\n",
      "\n",
      "Attaching package: ‘lubridate’\n",
      "\n",
      "\n",
      "The following object is masked from ‘package:cowplot’:\n",
      "\n",
      "    stamp\n",
      "\n",
      "\n",
      "The following objects are masked from ‘package:base’:\n",
      "\n",
      "    date, intersect, setdiff, union\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "library(tidyverse)\n",
    "library(broom)\n",
    "library(vegan)\n",
    "library(cowplot)\n",
    "library(patchwork)\n",
    "library(readxl)\n",
    "library(lubridate)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a2f43c0-578f-4bd7-ae1f-a3d1b8217975",
   "metadata": {},
   "source": [
    "# Metabolomics beta diversity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0a946ace-3930-48e4-aa89-101f2dd4d448",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[1mRows: \u001b[22m\u001b[34m180\u001b[39m \u001b[1mColumns: \u001b[22m\u001b[34m13\u001b[39m\n",
      "\u001b[36m──\u001b[39m \u001b[1mColumn specification\u001b[22m \u001b[36m───────────────────────────────────────────────────────────────────────────────────────────────────────────────\u001b[39m\n",
      "\u001b[1mDelimiter:\u001b[22m \"\\t\"\n",
      "\u001b[31mchr\u001b[39m (10): Type of Visit, Visit #, Visit Date, DOB, Method, Serum or Plasma, ...\n",
      "\u001b[32mdbl\u001b[39m  (3): Subject, Age (days), Freeze/Thaw Cycles\n",
      "\n",
      "\u001b[36mℹ\u001b[39m Use `spec()` to retrieve the full column specification for this data.\n",
      "\u001b[36mℹ\u001b[39m Specify the column types or set `show_col_types = FALSE` to quiet this message.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A tibble: 6 × 13</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>BabyN</th><th scope=col>Type of Visit</th><th scope=col>VisitCode</th><th scope=col>Visit Date</th><th scope=col>DOB</th><th scope=col>Age (days)</th><th scope=col>Method</th><th scope=col>Serum or Plasma</th><th scope=col>Freeze/Thaw Cycles</th><th scope=col>Proteomics (10-15ul)</th><th scope=col>Proteo Box Location</th><th scope=col>Metabolomics (55ul)</th><th scope=col>Metabol Box Location</th></tr>\n",
       "\t<tr><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>103</td><td>Well Check 02m</td><td>V5</td><td>4/27/18</td><td>2/21/18</td><td>65</td><td>Heelstick</td><td>Serum</td><td>1</td><td>15UL</td><td>Box1_A1</td><td>----</td><td>----   </td></tr>\n",
       "\t<tr><td>106</td><td>Well Check 02m</td><td>V5</td><td>5/29/18</td><td>3/27/18</td><td>63</td><td>Heelstick</td><td>Serum</td><td>2</td><td>15UL</td><td>Box1_A2</td><td>----</td><td>----   </td></tr>\n",
       "\t<tr><td>110</td><td>Well Check 02m</td><td>V5</td><td>7/9/18 </td><td>5/7/18 </td><td>63</td><td>Heelstick</td><td>Serum</td><td>2</td><td>15UL</td><td>Box1_A3</td><td>----</td><td>----   </td></tr>\n",
       "\t<tr><td>113</td><td>Well Check 02m</td><td>V5</td><td>7/26/18</td><td>5/15/18</td><td>72</td><td>Heelstick</td><td>Serum</td><td>2</td><td>15UL</td><td>Box1_A4</td><td>----</td><td>----   </td></tr>\n",
       "\t<tr><td>115</td><td>Well Check 04m</td><td>V6</td><td>8/24/18</td><td>5/24/18</td><td>92</td><td>Heelstick</td><td>Serum</td><td>2</td><td>15UL</td><td>Box1_A5</td><td>----</td><td>----   </td></tr>\n",
       "\t<tr><td>119</td><td>Well Check 02m</td><td>V5</td><td>8/30/18</td><td>6/30/18</td><td>61</td><td>Heelstick</td><td>Serum</td><td>1</td><td>15UL</td><td>Box1_A6</td><td>55UL</td><td>Box1_A1</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 6 × 13\n",
       "\\begin{tabular}{lllllllllllll}\n",
       " BabyN & Type of Visit & VisitCode & Visit Date & DOB & Age (days) & Method & Serum or Plasma & Freeze/Thaw Cycles & Proteomics (10-15ul) & Proteo Box Location & Metabolomics (55ul) & Metabol Box Location\\\\\n",
       " <dbl> & <chr> & <chr> & <chr> & <chr> & <dbl> & <chr> & <chr> & <dbl> & <chr> & <chr> & <chr> & <chr>\\\\\n",
       "\\hline\n",
       "\t 103 & Well Check 02m & V5 & 4/27/18 & 2/21/18 & 65 & Heelstick & Serum & 1 & 15UL & Box1\\_A1 & ---- & ----   \\\\\n",
       "\t 106 & Well Check 02m & V5 & 5/29/18 & 3/27/18 & 63 & Heelstick & Serum & 2 & 15UL & Box1\\_A2 & ---- & ----   \\\\\n",
       "\t 110 & Well Check 02m & V5 & 7/9/18  & 5/7/18  & 63 & Heelstick & Serum & 2 & 15UL & Box1\\_A3 & ---- & ----   \\\\\n",
       "\t 113 & Well Check 02m & V5 & 7/26/18 & 5/15/18 & 72 & Heelstick & Serum & 2 & 15UL & Box1\\_A4 & ---- & ----   \\\\\n",
       "\t 115 & Well Check 04m & V6 & 8/24/18 & 5/24/18 & 92 & Heelstick & Serum & 2 & 15UL & Box1\\_A5 & ---- & ----   \\\\\n",
       "\t 119 & Well Check 02m & V5 & 8/30/18 & 6/30/18 & 61 & Heelstick & Serum & 1 & 15UL & Box1\\_A6 & 55UL & Box1\\_A1\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 6 × 13\n",
       "\n",
       "| BabyN &lt;dbl&gt; | Type of Visit &lt;chr&gt; | VisitCode &lt;chr&gt; | Visit Date &lt;chr&gt; | DOB &lt;chr&gt; | Age (days) &lt;dbl&gt; | Method &lt;chr&gt; | Serum or Plasma &lt;chr&gt; | Freeze/Thaw Cycles &lt;dbl&gt; | Proteomics (10-15ul) &lt;chr&gt; | Proteo Box Location &lt;chr&gt; | Metabolomics (55ul) &lt;chr&gt; | Metabol Box Location &lt;chr&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| 103 | Well Check 02m | V5 | 4/27/18 | 2/21/18 | 65 | Heelstick | Serum | 1 | 15UL | Box1_A1 | ---- | ----    |\n",
       "| 106 | Well Check 02m | V5 | 5/29/18 | 3/27/18 | 63 | Heelstick | Serum | 2 | 15UL | Box1_A2 | ---- | ----    |\n",
       "| 110 | Well Check 02m | V5 | 7/9/18  | 5/7/18  | 63 | Heelstick | Serum | 2 | 15UL | Box1_A3 | ---- | ----    |\n",
       "| 113 | Well Check 02m | V5 | 7/26/18 | 5/15/18 | 72 | Heelstick | Serum | 2 | 15UL | Box1_A4 | ---- | ----    |\n",
       "| 115 | Well Check 04m | V6 | 8/24/18 | 5/24/18 | 92 | Heelstick | Serum | 2 | 15UL | Box1_A5 | ---- | ----    |\n",
       "| 119 | Well Check 02m | V5 | 8/30/18 | 6/30/18 | 61 | Heelstick | Serum | 1 | 15UL | Box1_A6 | 55UL | Box1_A1 |\n",
       "\n"
      ],
      "text/plain": [
       "  BabyN Type of Visit  VisitCode Visit Date DOB     Age (days) Method   \n",
       "1 103   Well Check 02m V5        4/27/18    2/21/18 65         Heelstick\n",
       "2 106   Well Check 02m V5        5/29/18    3/27/18 63         Heelstick\n",
       "3 110   Well Check 02m V5        7/9/18     5/7/18  63         Heelstick\n",
       "4 113   Well Check 02m V5        7/26/18    5/15/18 72         Heelstick\n",
       "5 115   Well Check 04m V6        8/24/18    5/24/18 92         Heelstick\n",
       "6 119   Well Check 02m V5        8/30/18    6/30/18 61         Heelstick\n",
       "  Serum or Plasma Freeze/Thaw Cycles Proteomics (10-15ul) Proteo Box Location\n",
       "1 Serum           1                  15UL                 Box1_A1            \n",
       "2 Serum           2                  15UL                 Box1_A2            \n",
       "3 Serum           2                  15UL                 Box1_A3            \n",
       "4 Serum           2                  15UL                 Box1_A4            \n",
       "5 Serum           2                  15UL                 Box1_A5            \n",
       "6 Serum           1                  15UL                 Box1_A6            \n",
       "  Metabolomics (55ul) Metabol Box Location\n",
       "1 ----                ----                \n",
       "2 ----                ----                \n",
       "3 ----                ----                \n",
       "4 ----                ----                \n",
       "5 ----                ----                \n",
       "6 55UL                Box1_A1             "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "meta = read_tsv('../../data/metadata/blood_sample_inventory.txt') %>% rename(BabyN = Subject, VisitCode = `Visit #`)\n",
    "head(meta)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "dd7c2156-4b18-41cc-a286-dea972df4b7a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A matrix: 6 × 112 of type dbl</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>GCDCA</th><th scope=col>GDCA</th><th scope=col>GHDCA or GUDCA</th><th scope=col>CA</th><th scope=col>TCDCA</th><th scope=col>TCA</th><th scope=col>CDCA</th><th scope=col>7oxoCA</th><th scope=col>TUDCA</th><th scope=col>UDCA or HDCA</th><th scope=col>⋯</th><th scope=col>Uracil</th><th scope=col>Adenosine</th><th scope=col>Phenaceturic acid</th><th scope=col>N-Acetyl D-galactosamine</th><th scope=col>Pyridoxal hydrochloride</th><th scope=col>2-Deoxyuridine</th><th scope=col>Vanillic acid</th><th scope=col>Thymine</th><th scope=col>Nicotinic acid</th><th scope=col>Homocitrate</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>P103_V12_05052020</th><td>13165.5770</td><td> 6486.205847</td><td>1037.4277</td><td> 877.47737</td><td> 842.441112</td><td> 428.399288</td><td>412.663454</td><td>  6.3092383</td><td> 26.103778</td><td> 37.617317</td><td>⋯</td><td>571</td><td>112</td><td> 45</td><td> 90</td><td>426</td><td>1223</td><td>6865</td><td>549</td><td>217</td><td>3044</td></tr>\n",
       "\t<tr><th scope=row>P106_V9_04022019</th><td> 5324.0810</td><td>  615.267690</td><td>1431.8130</td><td> 536.91035</td><td> 477.807838</td><td> 761.254736</td><td> 55.773899</td><td>  4.1422287</td><td> 91.815489</td><td> 19.861706</td><td>⋯</td><td>400</td><td>368</td><td>206</td><td>217</td><td>201</td><td> 372</td><td>  53</td><td>230</td><td>216</td><td> 109</td></tr>\n",
       "\t<tr><th scope=row>P107_A1_04152019</th><td>11967.1950</td><td>    3.048386</td><td>8876.5793</td><td> 884.30906</td><td>2720.613568</td><td>3492.197205</td><td>106.185518</td><td>  7.8072343</td><td>664.956760</td><td>113.460800</td><td>⋯</td><td>594</td><td>112</td><td>  8</td><td>330</td><td>102</td><td>   9</td><td>  87</td><td> 55</td><td>177</td><td>6952</td></tr>\n",
       "\t<tr><th scope=row>P108_V9_04022019</th><td>  117.1286</td><td>    0.000000</td><td> 116.1252</td><td>  29.79059</td><td>   6.916959</td><td>   5.775257</td><td>  1.574994</td><td>  0.4188151</td><td>  1.671431</td><td>  4.996911</td><td>⋯</td><td> 60</td><td>226</td><td> 11</td><td> 16</td><td>249</td><td> 104</td><td>  64</td><td> 18</td><td> 24</td><td>  36</td></tr>\n",
       "\t<tr><th scope=row>P108_V12_05212020</th><td>16651.2249</td><td> 1707.969274</td><td>3575.5902</td><td>1277.28149</td><td>2356.663104</td><td>1109.351448</td><td>204.781749</td><td> 41.6960461</td><td>216.707453</td><td>107.961759</td><td>⋯</td><td>375</td><td>184</td><td>205</td><td>141</td><td>253</td><td> 702</td><td> 298</td><td>196</td><td>196</td><td>3468</td></tr>\n",
       "\t<tr><th scope=row>P110_V9_05172019</th><td>14049.2132</td><td>14049.213180</td><td>2165.3081</td><td>1566.17080</td><td>1115.098040</td><td> 912.263097</td><td>541.515125</td><td>164.0847644</td><td> 88.919510</td><td> 68.656470</td><td>⋯</td><td>665</td><td>136</td><td>318</td><td>238</td><td>388</td><td> 603</td><td> 762</td><td>113</td><td>201</td><td> 406</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A matrix: 6 × 112 of type dbl\n",
       "\\begin{tabular}{r|lllllllllllllllllllll}\n",
       "  & GCDCA & GDCA & GHDCA or GUDCA & CA & TCDCA & TCA & CDCA & 7oxoCA & TUDCA & UDCA or HDCA & ⋯ & Uracil & Adenosine & Phenaceturic acid & N-Acetyl D-galactosamine & Pyridoxal hydrochloride & 2-Deoxyuridine & Vanillic acid & Thymine & Nicotinic acid & Homocitrate\\\\\n",
       "\\hline\n",
       "\tP103\\_V12\\_05052020 & 13165.5770 &  6486.205847 & 1037.4277 &  877.47737 &  842.441112 &  428.399288 & 412.663454 &   6.3092383 &  26.103778 &  37.617317 & ⋯ & 571 & 112 &  45 &  90 & 426 & 1223 & 6865 & 549 & 217 & 3044\\\\\n",
       "\tP106\\_V9\\_04022019 &  5324.0810 &   615.267690 & 1431.8130 &  536.91035 &  477.807838 &  761.254736 &  55.773899 &   4.1422287 &  91.815489 &  19.861706 & ⋯ & 400 & 368 & 206 & 217 & 201 &  372 &   53 & 230 & 216 &  109\\\\\n",
       "\tP107\\_A1\\_04152019 & 11967.1950 &     3.048386 & 8876.5793 &  884.30906 & 2720.613568 & 3492.197205 & 106.185518 &   7.8072343 & 664.956760 & 113.460800 & ⋯ & 594 & 112 &   8 & 330 & 102 &    9 &   87 &  55 & 177 & 6952\\\\\n",
       "\tP108\\_V9\\_04022019 &   117.1286 &     0.000000 &  116.1252 &   29.79059 &    6.916959 &    5.775257 &   1.574994 &   0.4188151 &   1.671431 &   4.996911 & ⋯ &  60 & 226 &  11 &  16 & 249 &  104 &   64 &  18 &  24 &   36\\\\\n",
       "\tP108\\_V12\\_05212020 & 16651.2249 &  1707.969274 & 3575.5902 & 1277.28149 & 2356.663104 & 1109.351448 & 204.781749 &  41.6960461 & 216.707453 & 107.961759 & ⋯ & 375 & 184 & 205 & 141 & 253 &  702 &  298 & 196 & 196 & 3468\\\\\n",
       "\tP110\\_V9\\_05172019 & 14049.2132 & 14049.213180 & 2165.3081 & 1566.17080 & 1115.098040 &  912.263097 & 541.515125 & 164.0847644 &  88.919510 &  68.656470 & ⋯ & 665 & 136 & 318 & 238 & 388 &  603 &  762 & 113 & 201 &  406\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A matrix: 6 × 112 of type dbl\n",
       "\n",
       "| <!--/--> | GCDCA | GDCA | GHDCA or GUDCA | CA | TCDCA | TCA | CDCA | 7oxoCA | TUDCA | UDCA or HDCA | ⋯ | Uracil | Adenosine | Phenaceturic acid | N-Acetyl D-galactosamine | Pyridoxal hydrochloride | 2-Deoxyuridine | Vanillic acid | Thymine | Nicotinic acid | Homocitrate |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| P103_V12_05052020 | 13165.5770 |  6486.205847 | 1037.4277 |  877.47737 |  842.441112 |  428.399288 | 412.663454 |   6.3092383 |  26.103778 |  37.617317 | ⋯ | 571 | 112 |  45 |  90 | 426 | 1223 | 6865 | 549 | 217 | 3044 |\n",
       "| P106_V9_04022019 |  5324.0810 |   615.267690 | 1431.8130 |  536.91035 |  477.807838 |  761.254736 |  55.773899 |   4.1422287 |  91.815489 |  19.861706 | ⋯ | 400 | 368 | 206 | 217 | 201 |  372 |   53 | 230 | 216 |  109 |\n",
       "| P107_A1_04152019 | 11967.1950 |     3.048386 | 8876.5793 |  884.30906 | 2720.613568 | 3492.197205 | 106.185518 |   7.8072343 | 664.956760 | 113.460800 | ⋯ | 594 | 112 |   8 | 330 | 102 |    9 |   87 |  55 | 177 | 6952 |\n",
       "| P108_V9_04022019 |   117.1286 |     0.000000 |  116.1252 |   29.79059 |    6.916959 |    5.775257 |   1.574994 |   0.4188151 |   1.671431 |   4.996911 | ⋯ |  60 | 226 |  11 |  16 | 249 |  104 |   64 |  18 |  24 |   36 |\n",
       "| P108_V12_05212020 | 16651.2249 |  1707.969274 | 3575.5902 | 1277.28149 | 2356.663104 | 1109.351448 | 204.781749 |  41.6960461 | 216.707453 | 107.961759 | ⋯ | 375 | 184 | 205 | 141 | 253 |  702 |  298 | 196 | 196 | 3468 |\n",
       "| P110_V9_05172019 | 14049.2132 | 14049.213180 | 2165.3081 | 1566.17080 | 1115.098040 |  912.263097 | 541.515125 | 164.0847644 |  88.919510 |  68.656470 | ⋯ | 665 | 136 | 318 | 238 | 388 |  603 |  762 | 113 | 201 |  406 |\n",
       "\n"
      ],
      "text/plain": [
       "                  GCDCA      GDCA         GHDCA or GUDCA CA         TCDCA      \n",
       "P103_V12_05052020 13165.5770  6486.205847 1037.4277       877.47737  842.441112\n",
       "P106_V9_04022019   5324.0810   615.267690 1431.8130       536.91035  477.807838\n",
       "P107_A1_04152019  11967.1950     3.048386 8876.5793       884.30906 2720.613568\n",
       "P108_V9_04022019    117.1286     0.000000  116.1252        29.79059    6.916959\n",
       "P108_V12_05212020 16651.2249  1707.969274 3575.5902      1277.28149 2356.663104\n",
       "P110_V9_05172019  14049.2132 14049.213180 2165.3081      1566.17080 1115.098040\n",
       "                  TCA         CDCA       7oxoCA      TUDCA      UDCA or HDCA ⋯\n",
       "P103_V12_05052020  428.399288 412.663454   6.3092383  26.103778  37.617317   ⋯\n",
       "P106_V9_04022019   761.254736  55.773899   4.1422287  91.815489  19.861706   ⋯\n",
       "P107_A1_04152019  3492.197205 106.185518   7.8072343 664.956760 113.460800   ⋯\n",
       "P108_V9_04022019     5.775257   1.574994   0.4188151   1.671431   4.996911   ⋯\n",
       "P108_V12_05212020 1109.351448 204.781749  41.6960461 216.707453 107.961759   ⋯\n",
       "P110_V9_05172019   912.263097 541.515125 164.0847644  88.919510  68.656470   ⋯\n",
       "                  Uracil Adenosine Phenaceturic acid N-Acetyl D-galactosamine\n",
       "P103_V12_05052020 571    112        45                90                     \n",
       "P106_V9_04022019  400    368       206               217                     \n",
       "P107_A1_04152019  594    112         8               330                     \n",
       "P108_V9_04022019   60    226        11                16                     \n",
       "P108_V12_05212020 375    184       205               141                     \n",
       "P110_V9_05172019  665    136       318               238                     \n",
       "                  Pyridoxal hydrochloride 2-Deoxyuridine Vanillic acid Thymine\n",
       "P103_V12_05052020 426                     1223           6865          549    \n",
       "P106_V9_04022019  201                      372             53          230    \n",
       "P107_A1_04152019  102                        9             87           55    \n",
       "P108_V9_04022019  249                      104             64           18    \n",
       "P108_V12_05212020 253                      702            298          196    \n",
       "P110_V9_05172019  388                      603            762          113    \n",
       "                  Nicotinic acid Homocitrate\n",
       "P103_V12_05052020 217            3044       \n",
       "P106_V9_04022019  216             109       \n",
       "P107_A1_04152019  177            6952       \n",
       "P108_V9_04022019   24              36       \n",
       "P108_V12_05212020 196            3468       \n",
       "P110_V9_05172019  201             406       "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "abunds = read_excel('../../data/metabolomics_abunds.xlsx')\n",
    "abunds = as.data.frame(abunds)\n",
    "row.names(abunds) = abunds$`Compound name`\n",
    "abunds = subset(abunds, select = -c(`Compound name`))\n",
    "abunds = pmax(as.matrix(abunds), 0) # set negative values to 0\n",
    "abunds[is.na(abunds)] = 0\n",
    "head(abunds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "66af117a-41c4-4001-8fd2-40c5f3aff83b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A matrix: 6 × 112 of type dbl</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>GCDCA</th><th scope=col>GDCA</th><th scope=col>GHDCA or GUDCA</th><th scope=col>CA</th><th scope=col>TCDCA</th><th scope=col>TCA</th><th scope=col>CDCA</th><th scope=col>7oxoCA</th><th scope=col>TUDCA</th><th scope=col>UDCA or HDCA</th><th scope=col>⋯</th><th scope=col>Uracil</th><th scope=col>Adenosine</th><th scope=col>Phenaceturic acid</th><th scope=col>N-Acetyl D-galactosamine</th><th scope=col>Pyridoxal hydrochloride</th><th scope=col>2-Deoxyuridine</th><th scope=col>Vanillic acid</th><th scope=col>Thymine</th><th scope=col>Nicotinic acid</th><th scope=col>Homocitrate</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>P261_V12_10222020</th><td> 2404.6828</td><td>1096.9110080</td><td> 937.07524</td><td> 354.3360</td><td> 165.02262</td><td> 55.82127</td><td> 31.72352</td><td> 33.603623</td><td> 30.6400827</td><td>115.824972</td><td>⋯</td><td>615</td><td> 155</td><td> 87</td><td>164</td><td> 128</td><td>533</td><td>339</td><td> 86</td><td> 212</td><td> 779</td></tr>\n",
       "\t<tr><th scope=row>P263_V9_11262019</th><td> 6517.0034</td><td>   0.0000000</td><td> 431.43731</td><td>1319.1350</td><td>1204.20288</td><td>510.59958</td><td>192.50285</td><td>  0.000000</td><td> 23.3860052</td><td> 27.465180</td><td>⋯</td><td>450</td><td> 506</td><td>408</td><td>142</td><td> 260</td><td>167</td><td>276</td><td>159</td><td> 144</td><td> 125</td></tr>\n",
       "\t<tr><th scope=row>P263_V12_11192020</th><td>  933.0816</td><td> 102.7557611</td><td> 337.39627</td><td> 165.8093</td><td>  67.97537</td><td> 55.72946</td><td> 17.27985</td><td>  7.447604</td><td>  8.5875476</td><td>  4.853898</td><td>⋯</td><td>160</td><td>1898</td><td> 25</td><td>110</td><td> 152</td><td>277</td><td> 80</td><td> 46</td><td>  47</td><td> 372</td></tr>\n",
       "\t<tr><th scope=row>P264_V9_12062019</th><td>13910.4984</td><td>  24.2022775</td><td>5833.77067</td><td>1003.1661</td><td>1184.33629</td><td>560.51895</td><td>285.05576</td><td>167.633884</td><td>251.6023909</td><td>318.601430</td><td>⋯</td><td>728</td><td> 186</td><td> 42</td><td>380</td><td> 296</td><td>238</td><td>809</td><td>106</td><td>8540</td><td>2484</td></tr>\n",
       "\t<tr><th scope=row>P264_V12_122302020</th><td> 3563.1361</td><td>1450.1682770</td><td>1940.12599</td><td>1262.6435</td><td> 201.63321</td><td>114.38832</td><td>158.51146</td><td> 37.096627</td><td> 42.9453941</td><td> 80.721888</td><td>⋯</td><td>277</td><td> 730</td><td>107</td><td>101</td><td> 594</td><td>308</td><td>106</td><td> 62</td><td>  61</td><td> 313</td></tr>\n",
       "\t<tr><th scope=row>P265_V9_120902019</th><td> 8710.3491</td><td>   0.8375833</td><td>  27.83095</td><td>1667.6658</td><td> 603.13351</td><td>497.27180</td><td>503.76574</td><td>  4.591014</td><td>  0.6352499</td><td>  2.817400</td><td>⋯</td><td>476</td><td> 190</td><td> 29</td><td>171</td><td>1474</td><td>403</td><td>321</td><td> 67</td><td> 640</td><td>   9</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A matrix: 6 × 112 of type dbl\n",
       "\\begin{tabular}{r|lllllllllllllllllllll}\n",
       "  & GCDCA & GDCA & GHDCA or GUDCA & CA & TCDCA & TCA & CDCA & 7oxoCA & TUDCA & UDCA or HDCA & ⋯ & Uracil & Adenosine & Phenaceturic acid & N-Acetyl D-galactosamine & Pyridoxal hydrochloride & 2-Deoxyuridine & Vanillic acid & Thymine & Nicotinic acid & Homocitrate\\\\\n",
       "\\hline\n",
       "\tP261\\_V12\\_10222020 &  2404.6828 & 1096.9110080 &  937.07524 &  354.3360 &  165.02262 &  55.82127 &  31.72352 &  33.603623 &  30.6400827 & 115.824972 & ⋯ & 615 &  155 &  87 & 164 &  128 & 533 & 339 &  86 &  212 &  779\\\\\n",
       "\tP263\\_V9\\_11262019 &  6517.0034 &    0.0000000 &  431.43731 & 1319.1350 & 1204.20288 & 510.59958 & 192.50285 &   0.000000 &  23.3860052 &  27.465180 & ⋯ & 450 &  506 & 408 & 142 &  260 & 167 & 276 & 159 &  144 &  125\\\\\n",
       "\tP263\\_V12\\_11192020 &   933.0816 &  102.7557611 &  337.39627 &  165.8093 &   67.97537 &  55.72946 &  17.27985 &   7.447604 &   8.5875476 &   4.853898 & ⋯ & 160 & 1898 &  25 & 110 &  152 & 277 &  80 &  46 &   47 &  372\\\\\n",
       "\tP264\\_V9\\_12062019 & 13910.4984 &   24.2022775 & 5833.77067 & 1003.1661 & 1184.33629 & 560.51895 & 285.05576 & 167.633884 & 251.6023909 & 318.601430 & ⋯ & 728 &  186 &  42 & 380 &  296 & 238 & 809 & 106 & 8540 & 2484\\\\\n",
       "\tP264\\_V12\\_122302020 &  3563.1361 & 1450.1682770 & 1940.12599 & 1262.6435 &  201.63321 & 114.38832 & 158.51146 &  37.096627 &  42.9453941 &  80.721888 & ⋯ & 277 &  730 & 107 & 101 &  594 & 308 & 106 &  62 &   61 &  313\\\\\n",
       "\tP265\\_V9\\_120902019 &  8710.3491 &    0.8375833 &   27.83095 & 1667.6658 &  603.13351 & 497.27180 & 503.76574 &   4.591014 &   0.6352499 &   2.817400 & ⋯ & 476 &  190 &  29 & 171 & 1474 & 403 & 321 &  67 &  640 &    9\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A matrix: 6 × 112 of type dbl\n",
       "\n",
       "| <!--/--> | GCDCA | GDCA | GHDCA or GUDCA | CA | TCDCA | TCA | CDCA | 7oxoCA | TUDCA | UDCA or HDCA | ⋯ | Uracil | Adenosine | Phenaceturic acid | N-Acetyl D-galactosamine | Pyridoxal hydrochloride | 2-Deoxyuridine | Vanillic acid | Thymine | Nicotinic acid | Homocitrate |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| P261_V12_10222020 |  2404.6828 | 1096.9110080 |  937.07524 |  354.3360 |  165.02262 |  55.82127 |  31.72352 |  33.603623 |  30.6400827 | 115.824972 | ⋯ | 615 |  155 |  87 | 164 |  128 | 533 | 339 |  86 |  212 |  779 |\n",
       "| P263_V9_11262019 |  6517.0034 |    0.0000000 |  431.43731 | 1319.1350 | 1204.20288 | 510.59958 | 192.50285 |   0.000000 |  23.3860052 |  27.465180 | ⋯ | 450 |  506 | 408 | 142 |  260 | 167 | 276 | 159 |  144 |  125 |\n",
       "| P263_V12_11192020 |   933.0816 |  102.7557611 |  337.39627 |  165.8093 |   67.97537 |  55.72946 |  17.27985 |   7.447604 |   8.5875476 |   4.853898 | ⋯ | 160 | 1898 |  25 | 110 |  152 | 277 |  80 |  46 |   47 |  372 |\n",
       "| P264_V9_12062019 | 13910.4984 |   24.2022775 | 5833.77067 | 1003.1661 | 1184.33629 | 560.51895 | 285.05576 | 167.633884 | 251.6023909 | 318.601430 | ⋯ | 728 |  186 |  42 | 380 |  296 | 238 | 809 | 106 | 8540 | 2484 |\n",
       "| P264_V12_122302020 |  3563.1361 | 1450.1682770 | 1940.12599 | 1262.6435 |  201.63321 | 114.38832 | 158.51146 |  37.096627 |  42.9453941 |  80.721888 | ⋯ | 277 |  730 | 107 | 101 |  594 | 308 | 106 |  62 |   61 |  313 |\n",
       "| P265_V9_120902019 |  8710.3491 |    0.8375833 |   27.83095 | 1667.6658 |  603.13351 | 497.27180 | 503.76574 |   4.591014 |   0.6352499 |   2.817400 | ⋯ | 476 |  190 |  29 | 171 | 1474 | 403 | 321 |  67 |  640 |    9 |\n",
       "\n"
      ],
      "text/plain": [
       "                   GCDCA      GDCA         GHDCA or GUDCA CA        TCDCA     \n",
       "P261_V12_10222020   2404.6828 1096.9110080  937.07524      354.3360  165.02262\n",
       "P263_V9_11262019    6517.0034    0.0000000  431.43731     1319.1350 1204.20288\n",
       "P263_V12_11192020    933.0816  102.7557611  337.39627      165.8093   67.97537\n",
       "P264_V9_12062019   13910.4984   24.2022775 5833.77067     1003.1661 1184.33629\n",
       "P264_V12_122302020  3563.1361 1450.1682770 1940.12599     1262.6435  201.63321\n",
       "P265_V9_120902019   8710.3491    0.8375833   27.83095     1667.6658  603.13351\n",
       "                   TCA       CDCA      7oxoCA     TUDCA       UDCA or HDCA ⋯\n",
       "P261_V12_10222020   55.82127  31.72352  33.603623  30.6400827 115.824972   ⋯\n",
       "P263_V9_11262019   510.59958 192.50285   0.000000  23.3860052  27.465180   ⋯\n",
       "P263_V12_11192020   55.72946  17.27985   7.447604   8.5875476   4.853898   ⋯\n",
       "P264_V9_12062019   560.51895 285.05576 167.633884 251.6023909 318.601430   ⋯\n",
       "P264_V12_122302020 114.38832 158.51146  37.096627  42.9453941  80.721888   ⋯\n",
       "P265_V9_120902019  497.27180 503.76574   4.591014   0.6352499   2.817400   ⋯\n",
       "                   Uracil Adenosine Phenaceturic acid N-Acetyl D-galactosamine\n",
       "P261_V12_10222020  615     155       87               164                     \n",
       "P263_V9_11262019   450     506      408               142                     \n",
       "P263_V12_11192020  160    1898       25               110                     \n",
       "P264_V9_12062019   728     186       42               380                     \n",
       "P264_V12_122302020 277     730      107               101                     \n",
       "P265_V9_120902019  476     190       29               171                     \n",
       "                   Pyridoxal hydrochloride 2-Deoxyuridine Vanillic acid Thymine\n",
       "P261_V12_10222020   128                    533            339            86    \n",
       "P263_V9_11262019    260                    167            276           159    \n",
       "P263_V12_11192020   152                    277             80            46    \n",
       "P264_V9_12062019    296                    238            809           106    \n",
       "P264_V12_122302020  594                    308            106            62    \n",
       "P265_V9_120902019  1474                    403            321            67    \n",
       "                   Nicotinic acid Homocitrate\n",
       "P261_V12_10222020   212            779       \n",
       "P263_V9_11262019    144            125       \n",
       "P263_V12_11192020    47            372       \n",
       "P264_V9_12062019   8540           2484       \n",
       "P264_V12_122302020   61            313       \n",
       "P265_V9_120902019   640              9       "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tail(abunds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7eb5aaeb-ae87-47c3-8248-ccfa457c4cca",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "“ 2 failed to parse.”\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A tibble: 6 × 4</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>BabyN</th><th scope=col>VisitCode</th><th scope=col>VisitDate</th><th scope=col>SampleID</th></tr>\n",
       "\t<tr><th scope=col>&lt;int&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;date&gt;</th><th scope=col>&lt;chr&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>261</td><td>V12</td><td>2020-10-22</td><td>P261_V12_10222020 </td></tr>\n",
       "\t<tr><td>263</td><td>V9 </td><td>2019-11-26</td><td>P263_V9_11262019  </td></tr>\n",
       "\t<tr><td>263</td><td>V12</td><td>2020-11-19</td><td>P263_V12_11192020 </td></tr>\n",
       "\t<tr><td>264</td><td>V9 </td><td>2019-12-06</td><td>P264_V9_12062019  </td></tr>\n",
       "\t<tr><td>264</td><td>V12</td><td>NA</td><td>P264_V12_122302020</td></tr>\n",
       "\t<tr><td>265</td><td>V9 </td><td>NA</td><td>P265_V9_120902019 </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 6 × 4\n",
       "\\begin{tabular}{llll}\n",
       " BabyN & VisitCode & VisitDate & SampleID\\\\\n",
       " <int> & <chr> & <date> & <chr>\\\\\n",
       "\\hline\n",
       "\t 261 & V12 & 2020-10-22 & P261\\_V12\\_10222020 \\\\\n",
       "\t 263 & V9  & 2019-11-26 & P263\\_V9\\_11262019  \\\\\n",
       "\t 263 & V12 & 2020-11-19 & P263\\_V12\\_11192020 \\\\\n",
       "\t 264 & V9  & 2019-12-06 & P264\\_V9\\_12062019  \\\\\n",
       "\t 264 & V12 & NA & P264\\_V12\\_122302020\\\\\n",
       "\t 265 & V9  & NA & P265\\_V9\\_120902019 \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 6 × 4\n",
       "\n",
       "| BabyN &lt;int&gt; | VisitCode &lt;chr&gt; | VisitDate &lt;date&gt; | SampleID &lt;chr&gt; |\n",
       "|---|---|---|---|\n",
       "| 261 | V12 | 2020-10-22 | P261_V12_10222020  |\n",
       "| 263 | V9  | 2019-11-26 | P263_V9_11262019   |\n",
       "| 263 | V12 | 2020-11-19 | P263_V12_11192020  |\n",
       "| 264 | V9  | 2019-12-06 | P264_V9_12062019   |\n",
       "| 264 | V12 | NA | P264_V12_122302020 |\n",
       "| 265 | V9  | NA | P265_V9_120902019  |\n",
       "\n"
      ],
      "text/plain": [
       "  BabyN VisitCode VisitDate  SampleID          \n",
       "1 261   V12       2020-10-22 P261_V12_10222020 \n",
       "2 263   V9        2019-11-26 P263_V9_11262019  \n",
       "3 263   V12       2020-11-19 P263_V12_11192020 \n",
       "4 264   V9        2019-12-06 P264_V9_12062019  \n",
       "5 264   V12       <NA>       P264_V12_122302020\n",
       "6 265   V9        <NA>       P265_V9_120902019 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "meta_from_names = row.names(abunds) %>% str_split_fixed('_', 3)\n",
    "colnames(meta_from_names) = c('BabyN', 'VisitCode', 'VisitDate')\n",
    "meta_from_names = meta_from_names %>% as_tibble %>% add_column(SampleID = row.names(abunds))\n",
    "meta_from_names = meta_from_names %>% mutate(BabyN = as.integer(str_sub(BabyN, 2)))\n",
    "meta_from_names = meta_from_names %>% mutate(VisitDate = mdy(VisitDate))\n",
    "tail(meta_from_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6ac4f249-0e24-47cf-81ba-5251720a55d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A tibble: 6 × 15</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>BabyN</th><th scope=col>VisitCode</th><th scope=col>VisitDate</th><th scope=col>SampleID</th><th scope=col>Type of Visit</th><th scope=col>Visit Date</th><th scope=col>DOB</th><th scope=col>Age (days)</th><th scope=col>Method</th><th scope=col>Serum or Plasma</th><th scope=col>Freeze/Thaw Cycles</th><th scope=col>Proteomics (10-15ul)</th><th scope=col>Proteo Box Location</th><th scope=col>Metabolomics (55ul)</th><th scope=col>Metabol Box Location</th></tr>\n",
       "\t<tr><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;date&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>103</td><td>V12</td><td>2020-05-05</td><td>P103_V12_05052020</td><td>Well Check 24m      </td><td>5/5/20 </td><td>2/21/18</td><td>804</td><td>Fingerstick</td><td>Plasma</td><td>2</td><td>15UL</td><td>Box2_F1</td><td>55UL</td><td>Box2_C9</td></tr>\n",
       "\t<tr><td>106</td><td>V9 </td><td>2019-04-02</td><td>P106_V9_04022019 </td><td>Well Check 12m      </td><td>4/2/19 </td><td>3/27/18</td><td>371</td><td>Venous     </td><td>Plasma</td><td>2</td><td>15UL</td><td>Box1_G4</td><td>55UL</td><td>Box1_F2</td></tr>\n",
       "\t<tr><td>107</td><td>A1 </td><td>2019-04-15</td><td>P107_A1_04152019 </td><td>AOM                 </td><td>4/15/19</td><td>4/2/18 </td><td>378</td><td>Venous     </td><td>Plasma</td><td>2</td><td>15UL</td><td>Box1_G5</td><td>55UL</td><td>Box1_F3</td></tr>\n",
       "\t<tr><td>108</td><td>V9 </td><td>2019-04-02</td><td>P108_V9_04022019 </td><td>Well Check 12m, Sick</td><td>4/2/19 </td><td>3/28/18</td><td>370</td><td>Venous     </td><td>Plasma</td><td>2</td><td>15UL</td><td>Box1_G6</td><td>55UL</td><td>Box1_F4</td></tr>\n",
       "\t<tr><td>108</td><td>V12</td><td>2020-05-21</td><td>P108_V12_05212020</td><td>Well Check 24m      </td><td>5/21/20</td><td>3/28/18</td><td>785</td><td>Fingerstick</td><td>Plasma</td><td>2</td><td>15UL</td><td>Box2_F2</td><td>55UL</td><td>Box2_D1</td></tr>\n",
       "\t<tr><td>110</td><td>V9 </td><td>2019-05-17</td><td>P110_V9_05172019 </td><td>Well Check 12m      </td><td>5/17/19</td><td>5/7/18 </td><td>375</td><td>Venous     </td><td>Plasma</td><td>2</td><td>15UL</td><td>Box1_G8</td><td>55UL</td><td>Box1_F5</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 6 × 15\n",
       "\\begin{tabular}{lllllllllllllll}\n",
       " BabyN & VisitCode & VisitDate & SampleID & Type of Visit & Visit Date & DOB & Age (days) & Method & Serum or Plasma & Freeze/Thaw Cycles & Proteomics (10-15ul) & Proteo Box Location & Metabolomics (55ul) & Metabol Box Location\\\\\n",
       " <dbl> & <chr> & <date> & <chr> & <chr> & <chr> & <chr> & <dbl> & <chr> & <chr> & <dbl> & <chr> & <chr> & <chr> & <chr>\\\\\n",
       "\\hline\n",
       "\t 103 & V12 & 2020-05-05 & P103\\_V12\\_05052020 & Well Check 24m       & 5/5/20  & 2/21/18 & 804 & Fingerstick & Plasma & 2 & 15UL & Box2\\_F1 & 55UL & Box2\\_C9\\\\\n",
       "\t 106 & V9  & 2019-04-02 & P106\\_V9\\_04022019  & Well Check 12m       & 4/2/19  & 3/27/18 & 371 & Venous      & Plasma & 2 & 15UL & Box1\\_G4 & 55UL & Box1\\_F2\\\\\n",
       "\t 107 & A1  & 2019-04-15 & P107\\_A1\\_04152019  & AOM                  & 4/15/19 & 4/2/18  & 378 & Venous      & Plasma & 2 & 15UL & Box1\\_G5 & 55UL & Box1\\_F3\\\\\n",
       "\t 108 & V9  & 2019-04-02 & P108\\_V9\\_04022019  & Well Check 12m, Sick & 4/2/19  & 3/28/18 & 370 & Venous      & Plasma & 2 & 15UL & Box1\\_G6 & 55UL & Box1\\_F4\\\\\n",
       "\t 108 & V12 & 2020-05-21 & P108\\_V12\\_05212020 & Well Check 24m       & 5/21/20 & 3/28/18 & 785 & Fingerstick & Plasma & 2 & 15UL & Box2\\_F2 & 55UL & Box2\\_D1\\\\\n",
       "\t 110 & V9  & 2019-05-17 & P110\\_V9\\_05172019  & Well Check 12m       & 5/17/19 & 5/7/18  & 375 & Venous      & Plasma & 2 & 15UL & Box1\\_G8 & 55UL & Box1\\_F5\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 6 × 15\n",
       "\n",
       "| BabyN &lt;dbl&gt; | VisitCode &lt;chr&gt; | VisitDate &lt;date&gt; | SampleID &lt;chr&gt; | Type of Visit &lt;chr&gt; | Visit Date &lt;chr&gt; | DOB &lt;chr&gt; | Age (days) &lt;dbl&gt; | Method &lt;chr&gt; | Serum or Plasma &lt;chr&gt; | Freeze/Thaw Cycles &lt;dbl&gt; | Proteomics (10-15ul) &lt;chr&gt; | Proteo Box Location &lt;chr&gt; | Metabolomics (55ul) &lt;chr&gt; | Metabol Box Location &lt;chr&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| 103 | V12 | 2020-05-05 | P103_V12_05052020 | Well Check 24m       | 5/5/20  | 2/21/18 | 804 | Fingerstick | Plasma | 2 | 15UL | Box2_F1 | 55UL | Box2_C9 |\n",
       "| 106 | V9  | 2019-04-02 | P106_V9_04022019  | Well Check 12m       | 4/2/19  | 3/27/18 | 371 | Venous      | Plasma | 2 | 15UL | Box1_G4 | 55UL | Box1_F2 |\n",
       "| 107 | A1  | 2019-04-15 | P107_A1_04152019  | AOM                  | 4/15/19 | 4/2/18  | 378 | Venous      | Plasma | 2 | 15UL | Box1_G5 | 55UL | Box1_F3 |\n",
       "| 108 | V9  | 2019-04-02 | P108_V9_04022019  | Well Check 12m, Sick | 4/2/19  | 3/28/18 | 370 | Venous      | Plasma | 2 | 15UL | Box1_G6 | 55UL | Box1_F4 |\n",
       "| 108 | V12 | 2020-05-21 | P108_V12_05212020 | Well Check 24m       | 5/21/20 | 3/28/18 | 785 | Fingerstick | Plasma | 2 | 15UL | Box2_F2 | 55UL | Box2_D1 |\n",
       "| 110 | V9  | 2019-05-17 | P110_V9_05172019  | Well Check 12m       | 5/17/19 | 5/7/18  | 375 | Venous      | Plasma | 2 | 15UL | Box1_G8 | 55UL | Box1_F5 |\n",
       "\n"
      ],
      "text/plain": [
       "  BabyN VisitCode VisitDate  SampleID          Type of Visit        Visit Date\n",
       "1 103   V12       2020-05-05 P103_V12_05052020 Well Check 24m       5/5/20    \n",
       "2 106   V9        2019-04-02 P106_V9_04022019  Well Check 12m       4/2/19    \n",
       "3 107   A1        2019-04-15 P107_A1_04152019  AOM                  4/15/19   \n",
       "4 108   V9        2019-04-02 P108_V9_04022019  Well Check 12m, Sick 4/2/19    \n",
       "5 108   V12       2020-05-21 P108_V12_05212020 Well Check 24m       5/21/20   \n",
       "6 110   V9        2019-05-17 P110_V9_05172019  Well Check 12m       5/17/19   \n",
       "  DOB     Age (days) Method      Serum or Plasma Freeze/Thaw Cycles\n",
       "1 2/21/18 804        Fingerstick Plasma          2                 \n",
       "2 3/27/18 371        Venous      Plasma          2                 \n",
       "3 4/2/18  378        Venous      Plasma          2                 \n",
       "4 3/28/18 370        Venous      Plasma          2                 \n",
       "5 3/28/18 785        Fingerstick Plasma          2                 \n",
       "6 5/7/18  375        Venous      Plasma          2                 \n",
       "  Proteomics (10-15ul) Proteo Box Location Metabolomics (55ul)\n",
       "1 15UL                 Box2_F1             55UL               \n",
       "2 15UL                 Box1_G4             55UL               \n",
       "3 15UL                 Box1_G5             55UL               \n",
       "4 15UL                 Box1_G6             55UL               \n",
       "5 15UL                 Box2_F2             55UL               \n",
       "6 15UL                 Box1_G8             55UL               \n",
       "  Metabol Box Location\n",
       "1 Box2_C9             \n",
       "2 Box1_F2             \n",
       "3 Box1_F3             \n",
       "4 Box1_F4             \n",
       "5 Box2_D1             \n",
       "6 Box1_F5             "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "meta = left_join(meta_from_names, meta, by=c('BabyN', 'VisitCode'))\n",
    "head(meta)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "098c3082-a057-4f5f-8c6d-e946c68d3fff",
   "metadata": {},
   "source": [
    "# Build NMDS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c11367be-c463-49e3-b8e6-e44cdaf6edbd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Square root transformation\n",
      "Wisconsin double standardization\n",
      "Run 0 stress 0.1161551 \n",
      "Run 1 stress 0.1174903 \n",
      "Run 2 stress 0.1160066 \n",
      "... New best solution\n",
      "... Procrustes: rmse 0.02168867  max resid 0.161344 \n",
      "Run 3 stress 0.1160273 \n",
      "... Procrustes: rmse 0.0003884551  max resid 0.002111242 \n",
      "... Similar to previous best\n",
      "Run 4 stress 0.1162921 \n",
      "... Procrustes: rmse 0.01530173  max resid 0.07597371 \n",
      "Run 5 stress 0.1213692 \n",
      "Run 6 stress 0.1157888 \n",
      "... New best solution\n",
      "... Procrustes: rmse 0.009035861  max resid 0.0505102 \n",
      "Run 7 stress 0.1176351 \n",
      "Run 8 stress 0.1158169 \n",
      "... Procrustes: rmse 0.005590677  max resid 0.03350807 \n",
      "Run 9 stress 0.116141 \n",
      "... Procrustes: rmse 0.0169148  max resid 0.1579678 \n",
      "Run 10 stress 0.1160677 \n",
      "... Procrustes: rmse 0.01514619  max resid 0.1580869 \n",
      "Run 11 stress 0.1160483 \n",
      "... Procrustes: rmse 0.005408546  max resid 0.06302185 \n",
      "Run 12 stress 0.1160631 \n",
      "... Procrustes: rmse 0.008383591  max resid 0.06525868 \n",
      "Run 13 stress 0.1161215 \n",
      "... Procrustes: rmse 0.0145614  max resid 0.1582002 \n",
      "Run 14 stress 0.1160415 \n",
      "... Procrustes: rmse 0.01472092  max resid 0.1579967 \n",
      "Run 15 stress 0.1159429 \n",
      "... Procrustes: rmse 0.01343404  max resid 0.1582936 \n",
      "Run 16 stress 0.1157915 \n",
      "... Procrustes: rmse 0.0008095928  max resid 0.008303331 \n",
      "... Similar to previous best\n",
      "Run 17 stress 0.1162925 \n",
      "Run 18 stress 0.1159426 \n",
      "... Procrustes: rmse 0.01342198  max resid 0.1583306 \n",
      "Run 19 stress 0.1162995 \n",
      "Run 20 stress 0.1161231 \n",
      "... Procrustes: rmse 0.0144991  max resid 0.1582054 \n",
      "*** Solution reached\n"
     ]
    }
   ],
   "source": [
    "nmds = metaMDS(abunds, k=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "6a1a7155-8958-41ef-87e6-16a5b2c3f8ae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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I2U7CS9Jp0rzSVhEIAABCAAAQhAAAIQ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6lTP8THmsozTMtTP+b9pE3HddcqjdWl30kjpd2kuyVP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\nrXg5Ryrltm494HalI1YgHadxF4CnKrTqC1yjRd6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ospTi1qYco/g7y/5QtZrtR1qYe9+2Vbye4cpFio/vIsp8Tb1H0ffe5pvOCAIIVF0g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\nAAIIINDaAt2hc8zUE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TXlF6CuRpTTtFGaE0oq2jlXq7Si2oGrGNrBMBBBBAAAEE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\nrkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot(nmds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e3948c5a-595e-4324-a34d-ce6a41df6cc6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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7juEEWzsrNWut1hqUa+Hq77dqruZUldup9efXZS74SkVXES5/06SWhUfGxf80WK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BSPI5b/9PF0p/AhyQ+jPDAwIQWAoC897o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C0TOo1N0nHNhXTmN0lMxjcOCxt75fTZOqwfmEgv6ujP+d6fi+EeFncsmwtYJ/DY34JW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\ngAY0oAENaEADGtCABjSgAQ28Zwb+C2q2+LGbp4rIAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "stressplot(nmds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "02d7f4b0-08f6-4fe8-9616-b4e5868a68d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "0.115788758216549"
      ],
      "text/latex": [
       "0.115788758216549"
      ],
      "text/markdown": [
       "0.115788758216549"
      ],
      "text/plain": [
       "[1] 0.1157888"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nmds$stress"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5ba8ec5d-254c-4074-a82f-105c80def623",
   "metadata": {},
   "outputs": [],
   "source": [
    "nmds_points = as_tibble(nmds$points, rownames='SampleID')\n",
    "nmds_w_meta = left_join(meta, nmds_points, by='SampleID')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ad26fc05-a407-4612-871d-206941f4d37e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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J12VUGIHkFHh7a638VBkw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pxHNCiKmREiXTuo/eRRJpPdiIQ9zcDRrFKz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\nEwAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ggplot(nmds_w_meta, aes(x=MDS1, y=MDS2, color=VisitCode)) + geom_point()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f664e5e1-5c2a-4796-9214-f99131beb1a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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SNO8ERLI/mySVw3eR0pNO\ntQFT6Po8RwABBBBAAIG6BRhiV7cP7yKAAAIpLVD96cc2OAqYQCkQNA/7MyhZ06ZK9nffpvS5\nc3IIIIAAAgikogABUiq2CueEAAIIJChQ/dlkGxRFrq6BUtZ330Qu5jUCCCCAAAIIxBEgQIoD\nxNsIIIBAKgsEt5TEPL3Ali0x3+MNBBBAAAEEEIguQIAU3YWlCCCAQFoIBPoPkGBG7T/luqyq\nd5+0qAMniQACCCCAQCoJ1P5fNZXOjnNBAAEEEKhTIOvIMSImGNL8DE4Jmkx2kpkl5QeMdhbx\nEwEEEEAAAQQSFCBAShCK1RBAAIFUFAh06SJbxv5Bqrt3t0GSBkrVPXrKlosulmC7dql4ypwT\nAggggAACKS1Amu+Ubh5ODgEEEIgvUN29h2y5+DKR8jKzsuk9ysmJvxFrIIAAAggggEBUAQKk\nqCwsRAABVwIVFZI1e5YENm6U6k6dpMrMk9FhYJRGFsjJbeQDsHsEEEAAAQS8L0CA5P02poYI\nNKlAxvLlkv/UYxLYunVbUFRVJdUdO8nW/ztfpHXrJj0XDoYAAggggAACCNRXgK906yvG+ggg\nEFvA9BzlP/W4BDZvloAJjALmtd6PJ2PNasl7YVzs7XgHAQQQQAABBBBIEQECpBRpCE4DAS8I\nZM6dY3qOtugsmLCiQVLmwgUSLFoTtpwXCCCAAAIIIIBAqgkwxC7VWoTzQSCNBTI2bawZVler\nGjoHycxJoiCAQPoIBINB+dfqInl+9RpZV1EpPXJzZGy3LjK6bZv0qQRnigACCNRTgB6keoKx\nOgIIxBbQuUZihtZFLaYXSTp1jvoWCxFAIDUFblu8VP6+bLmsLK+QchMszS8tk6vnL5JX16xN\nzRPmrBBAAIEkCBAgJQGRXSCAwDaBqn79pbpLVwlmZIaRBDMzpWL3PSRQWBi2nBcIIJC6AvO3\nlsobReukMvQuxOZ0zVcdcqcJnC6eO1+eXblaSmJ9KZK6VePMEEAAgToFCJDq5OFNBBCol0Ag\nIFvPOU+q+va1mwXNa722qhixm5SNOa5eu2JlBBBoXoEpm0skNyNyRuG2c9Ig6bNNxfLg8pVy\n3IzZssYkZPFKWVpWJg+Zel2/YJE8uWKVGVronbp5pY2oBwKNLcAcpMYWZv8I+EwgWFAgW8+7\nwNwDacO2+yC17yDSsqXPFKguAukvkGvmDZpRdXWWCrPC2soKuXPRUrl3wLYvRurcIMXfnLRh\no1z+80LJMF/uaN1yzM+nTC/Z44P6y9CWLVL87Dk9BBBIlgA9SMmSZD8IIBAmEGzdRqp79SY4\nClPhBQLpIzCyVYHEmFEYVgkdgjdp4yapjhdNhW2Vei+KzVDBqxcstnXW4EiLzrvaauZPXjF/\noQkW40SLqVclzggBBBooQIDUQDg2QwABBBBAwMsC7bKz5cbePWza/vBZhbVrrYFUVZoHEF+Z\nIYPRgjwNi1abJBVzzJwsCgII+EOAIXb+aGdqiQACCCCAQL0FjmzfTgbk58lrJmvdD2ZO0kKT\nxU7nH0WWgWadbE3ln8ZFk03EqoHOxNpMMoo0bl1OHYH6CRAg1c+LtRFAAAEEEPCVwJAWLeT6\n3i1MNrugnP7THJvq2xmCpoGDBhXX9Oye9iY7mbmSZXX0gg1qkZ/2daQCCCCQmAABUmJOrIUA\nAgh4WiBQXCzZkz+VrJ9/lmBenlTsuptU7rq7iJmkTkFABbLMZ+HJwQPkgWUr5N11G+zcnCEm\naLiiRzcZXpD+iVj6m16ww9q1kQ/Xb7QJGpxWzzK/Aud37SyF5nYFFAQQ8IcAAZI/2plaIoAA\nAjEFAuvWSst/3G9mpJdJYPswoswF86Vy9iwpPfWMmNvxhv8EWpog4dpePezDbe0/MRnjJq5d\nL5vMZ273wgI5uWMHKcxq3iDklj69pEfuKnlx9RoprqqW9llZ8vtuneUEc24UBBDwjwABkn/a\nmpoigAACUQXy3nxDpKxUAiZbl1P0edb0HyXzp5lSNWSos5ifCCRF4LZFS+xNaJ1PnM5vemVN\nkTy/w0DpnJOTlGM0ZCfaSza2Wxf70GGE2fSgNoSRbRBIe4FY8xHTvmJUAAEEEEAgAQFzEZg5\nb05YcFSzlXkv66cZNS95gkAyBL422eLeKFoXluxBg5H1FZVyx+JlyThEUvZBcJQURnaCQFoK\nECClZbNx0ggggECSBMyFacy7gep7ZpgRBYFkCujQumhFU4V/7oH7KUWrG8sQQCC9BAiQ0qu9\nOFsEEEAguQImNXNV7z4SjDaUyMw3qRo0KLnHY2++FyirDob1HoWCaJBESB4qwnMEEGgOAQKk\n5lDnmAgggEAKCZQdfYyICYZCg6SgBke9ekvlTsNT6Ew5FS8I7GESMkQbvqb5EjUrns4DoiCA\nAALNKUCShubU59gIIIBACghUd+0mJZdeLrnvvyuZCxeK5OZIxYjdpHzUAeYmN3yPlgJN5KlT\nONik0n7BZImbu7W0Jp22hkT6Sbu2V/rfT8lTjZUilamsrJTZs2fLggULZODAgfaRwd+muK2z\nbt06KTa3cAgtmebLr9atW0tBQYG5i0P4lxFbtmyRNWvWSOfOnSXP3O7Bz4X/+fzc+tQdAQQQ\n2C4Q7NhJSk8/S0quv0lKrrxWykcfbG58w3dofECSL6A9RE+Y+ymd3KmDTaOdby50Nc33uCED\nRW/WSkEgVODOO++UwsJCGTZsmBx55JGyww472Ne33XabmT5p5klSYgrccMMN0qdPn7BHz549\npVWrVtKpUye59NJLwwKod99916776aefxtynX97gfz+/tDT1RAABBBBAIEUENCi63NxgVh8U\nBGIJXH755XLffffJSSedJGeccYa0bdtWPv/8c5kwYYLoxf9C0+P9xBNPxNqc5dsFrr/+etsr\npC+rzH3HNmzYIP/+97/lgQcekJ/NzcHfeeedWr1JfscjQPL7J4D6I4BA0wnovYWmTpGsH6dK\nwAwZqRw0WCr2GimSnd1058CREEAAgTQQ0Av5Z5991vYc/etf/zKjfbcNetpnn31EAyftSXru\nuefk7rvvljZt2qRBjZrvFDW4HBSRcOfPf/6zHHDAATZQmjlzpuy4447Nd4IpeGQCpBRsFE4J\nAQQ8KGCCo7xxz0jW7FkmTVe16MjvzJ/nSfbXX8qWiy4Rycv3YKWpEgIIINAwgaKiItE5NKNH\nj64Jjpw96Tyav/3tb/L666/LsmXLwgIkna/09NNPyzfffCM6p2bEiBFy3nnn2Xk3zvYPP/yw\nHWKmw80efPBBGTJkiJx77rnyyiuvSI65UbGuH1o0ENPz0cBMy9y5c+X555+XSy65RL766isb\nZOhxDz30UDn22GOlpKREnnrqKfvevvvuKyeeeKJ06NAhdJdRn3/77bfy8ssv27lWOjTusMMO\ns/UPXTnWuXfs2DF0tbjPs8wQ6qOPPlomT54s3333XZ0B0sSJE+16Wm8NRjWYUiOdx+SUJUuW\n2N48DbZ0jtNOO+1kTUPXeeyxx6Rdu3ay33772eD2+++/l+HDh8vpp58u2hZffvmljB8/XkpL\nS+XUU08VtQudJ6Xzo7QtZs2aJevXr5f+/fvLEUccIfvvv79zGkn7GTDjN309gFOBtSG8UrT7\nWSfWrVq1ylyDkSzVbbtmm2/29ZdbPycU9wL6R7NFixZ2Eqj+Z+KnkvW/7yTvtVdq3ZBVs8VV\n7Lm32Exy9QTRiwT9z2rt2rX13JLVownoPAf9fVfP8vLyaKuwrB4CemHTvn17e2FZj81YNYZA\nSzM/S+eOaNBQVlYWY63GW9y1a9fG23mMPe+8887y008/yT333GMvovXiuq6iF9CHH364veDX\nHpOhQ4eKzqfR/3v0Il9fa9GgSf92zpgxo+bv5+LFi22Ao84a9ISWgw46SObMmSOLFi2yi3Vf\nv/3tb+05vfrqq7LHHnvI//73PxuQ6bA1DbSmTp0qu+yyiw3U9G+11qNXr16huw17rnOqbrzx\nRunbt6/stttuooGGnt/vf/97eeSRR2rWjXXu3bvXTnBy0UUXyUMPPWQTXET2IOkOTzjhBNHz\n1/poMPbaa6/J8ccfLzoXSYM9LaeddppoD55ur/PAvvjiC1m5cqVNlDF9+nQbUM6bN0/23ntv\nO3xPe/g0MYQGO71795avv/7a/h3Qfe255552/eXLl9vAR61//PFHG3BdccUVcv7559vASocA\nakKOP/zhD/KPf/xDN7VDK4855hjZunWrjBw50v7UY+i1rg6zPOecc+x6yfqHJA3JkmQ/CCCA\nQB0C2TqsLsqXFgEzjCTrx2l1bMlbCCCAgD8FNNDo0aOHTSagPSR6EX7ttdfKxx9/bC/GI1Wu\nueYaGxxpz5JmvXvjjTdsoKJfeFxwwQVhq2vgpEPPNm/ebIORaAFG2AZRXrz33nu2N2PSpEm2\nJ0u/YNFeJe2R0iBAl7/44os2cNKeoVhFg46bbrrJzrXS3hGttwYO2mP16KOP2l6l0G3dnrsG\nFTqP66233hJ11aAmWvnkk09scHTVVVdZTw2gtF5jx461vWjvv/++3Ux7hjQo0nPWuU1abw2q\ndH6T1j+06Byy4447zr43bdo00flRGghqwggNeLRXSdtOg0TtCXTKddddZzs0NBj74IMPbI+W\nzkHT4FN7AZNdCJCSLcr+EEAAgWgCdfRI6HwkCgIIIIBAuIDOM9IL5nvvvVd+9atfyQ8//CB/\n+ctf5MADD5TBgwfb4MfZQnsd9IJaexe0p8Ep2mujw7V0KJlekDtF5zTdfvvtkp+fb/flLK/P\nTx1mpr0kWrRHygk0br755prhZ6NGjbLvaw9VrKLD8fRC//777zdTUrfNSdUeWD0/zTb3z3/+\nM2zT+p67noM66EMDQR1ppBkBNaB78sknw4Yfhh5Ie7M00NH5Sk7R89JhhFq0x06Lno8GoZ99\n9llN4Kq9UytWrLC9QHal7f/o9rfeemvNIu3x03LyySfL7rvvbp+rgQ6v06GK2qOvg900QNJk\nEpqC3CkaPO+111415+EsT8ZP5iAlQ5F9IIAAAnEEqkxChsxFC0V7jEJLMJAhlf36hS7iOQII\nIIDAdgGdOnDZZZfZh84p0h4IHRamF/YakGjgs+uuu9oeDb2Q3rRpk53zEwq4dOlS+1KHyemw\nPS0658XtvX76Rfzt1t4Yvbjv1u2X7Iw6vE+LJp2IVXT4nQZaGgyFFj0/naOjgWFoqe+56z50\nCLEWnXukQZIGP5odUIfBxip9tqcI17lROoRQz1MfzhBEZyiyzt/SOVmnnHKK6LA+HZKoQxB1\njlNkUZtQd2fulBNoOuuHumlQdcghh9jpDtqLpcMPtZdJXfR5aNDkbO/2JwGSW0G2RwABBBIQ\nKB+5r2R/Y8a1b9hohtpt+48yaP7o672Gyg4/IoE9NPMq5sIjsH6dOd9sCZp5EBQEEECgMQV0\nqJlejOtFtpPBTuew6sW3PnS5XoTr0DUNkDSJghbtEXLWd87P6T1xggRdXldg4Gzn/IwV3ETb\nh/YEhZZEpvprL4nOL4tWtJenoqIi7K1oxw1bIeKF9kxFm4MUsVqtlxpsahIEDULVVedU6UOT\nLOiQQKfozXs1gNK5QNrLo4kWtF004NPhjtob5JRY566BW2iJdBs3bpwd2qe9Shq46Vyss846\nyw5HdALg0O3dPg8/G7d7Y3sEEEAAgegCublSctGlkvveRMma8aPtSars20/KfnuUBDvUL/tQ\n9AM03tLMmTMk7/XxkmHG6mup6txFSk86VapDviVtvKOz56YUqDBzEzaYb7rbmYuVTA3gKQg0\nk4BeaOvcF51v8+tf/7rWWRx88MGSa/6uamY1LU5vjgYCL7zwQtj6GuBEBi5hK2x/oetEBiP6\nVl3D46LtJ9qyyAv+0HU0G5smM4hWdJ6NBiXNUXRonQZHjz/+uA1GnOF/2oOnJbRO2tOn6+tD\nE4lokHThhReKzgvTfTS06DE08ZgmYVAH7UHSgNcpmtUu9Dyc5W5/ZrjdAdsjgAACCCQoYDL2\nlB13gpTc+P9k8y23S+nZ50qwnqlZEzxS0lbTVOT5456pCY50xxmrV0mLR/4pgY0bk3YcdtS8\nAltNYPT/Fi2RfaZMl4OnzZT9zc8nVqxqlAuP5q0pR08XgaOOOsqeql5wO3NdQs9deyg0m58O\nvdKiAVKXLl1sYgbt+QgtmolN5wg5WehC3wt97qyjQ/mcMn/+/LjbOes29Kf2sGgvkiZNCC06\nhGzKlCm2tyR0eVM916F12munPTVOcKTH1kQMWpxstDpUT4f9ae+OFs02qNn3dA6ZZrxzW9RB\nj6Vzy0KDIw2Oddikcx5ujxO6PQFSqAbPEUAAAQTCBHLef1e/JgxbZu4PoQPqJeezSWHLeZG+\nAlfMWyAT1q6Xyu1trQHToyZA+ufyui9udP0vNm6S8WuK5MtNxVIV8VlpDBE9t5I65nM0xjHZ\nZ9MLaBIGDY50zpH2HGjmNM3odt9999kJ/ZqBTtNr6z2GtOgF/F133WXTP48ZM0b++9//il7g\na/poDaY0u1zkPJfIWmmwpYGK7vujjz6SZ555xgZg2jvSmEXnWOm5nX322XZulQ4t1B4YTaSg\nc4W0Ds1R1F2DRc0cqMGIzj3SOUZOZrqN278k0/NbvXq1TXuuwZP2hl199dV2fpAma3Bb9L5L\n2r4670xTkGug+9JLL9XcI0sz6CW7F4khdm5bje0RQAABDwtkrlwh0QZaabKJjKVLPFxz/1Tt\nR/Ot79fFmyXyznka/DyzcrWc3aWTFGaGz6tQnaXm2/uxc+bLSjM/Ist8SCpN3Nw9J0ceHtRP\nupqfyS7zt5baXq6pJdu+3R9gJrBf37uHDC9omexDsb8UEbjN3BtI772jgY8GK859K/WeTP/3\nf/9ns77p3Bin6A1H9UavGnBo5jYtOrdFh2dpOul4RVNNa4+EznfRuTM6Z0m302xs+rqxitZB\nA0HtddF7AWkabr1HkN4AVYNCzdbWHOWOO+6wySXUQ+9FpUMQ9X5JOj9ME2RoGnD10fsbaVtp\nhsE333zTnqrOqdLMc6EZ6xpaB+2d0mGTOpdK50Spj85v0mPq8EkNnjWDXjJvGMuNYrlRbEM/\nr77YTr+x0AmS3Cg2Oc3t5xvFJkcwfC/6n5UOCdFvPBurtPzL7ZKxofaNkrVPqXL4CCk95bTG\nOnST79evN4rV3p97ly6X0urwnkJtAA2Lnhg8QHaJCEKqTfB07IzZssQESaGBla7fLz9PXh4y\nyE6U1wnZzuR53V9Dy+ryCnO8WaK9R6HHyzLzpF7YYaAMavHLRXJDj5Hq2/nxRrGhbaIXwnpf\nHf0/OTRLXOg6oc91aJf+bdQJ/WpXn6K9JjrvSJMPJDJ3qT77jreu3ghV5x0NGDAgbFhbvO0a\n830NSDRw1F6u0IA08pia1W7Jkm1fnOmQR80+l+yi85F0nlhjB431GmKnjabdfk5av2iV1kbV\nG15REEAAAQTSX6Bi75ESjNJ7YP7nk4o99kz/ClIDaWO+YY8SG1kZzbfYJqt279E004ujPUih\nwYpuoOv/bHp6ZpnrhWSWZ1atlrKI4Ej3r4Hag8tXJPNQ7CtFBTRQ0QQMiQRHWgWdj6RDs+ob\nHOm2Ou9G5880dXCkx9YARG80GzrnR5c3Z9GsgOpRV3Ck56e9d5pwQh+NERzpMTSld2MHR3qc\nhAIkDYh0fKF+uzZ06FCbivCPf/yjHZeoOwktejOr0HR+oe/xHAEEEEAgvQTKfzVKKocMFU1J\nHjQX0vZhnpcfdKhUDRiYXpXhbKMKjGxVaIbI1f6mVy8Q+uflSh8zlC2yaI9OdpRtdD1dvsq8\nn8wyZXOJRLudsgZoP5YkNxhL5nmzLwQQSE+BhOYg3XnnnfYuxhoc6R1vdXyhjgP88MMP7SQ2\njdIpCCCAAAIeFDDfHJaefpZkLlwgmfN/tgFS1Q5DpTrihoYerLlvqlRgvpm/r38fucQkarBD\nJ02vjAZMOu/onv59ozr0NoFTmVkvWtHlfcz7ySxtTXAeq7SK1sMZa2WWI4AAAgkIxP6Ls31j\nzQpx9913i6ZbdNIP6mQ5zWDxu9/9Tg488EA7MaqxM3wkUBdWQQABBBBoJIGqPn1FHxRvCuxp\nepH+vdMQeW/dBlltxvdrAHRY2zaSHyP4GGzm/Oxm5iVNMUPtnMx3KqO9R3sWFkTtdXIjd1T7\ntvK1ZsmL2IkGcmM6NG6GsYhD8hIBBHwgEDdA0rvTbjY3B9RgKLSccsop9i7Emk1C85J/8MEH\nduxh6Do8RwABBBCILaA9MlnTpkrAzNeoMqlcK3bbQ3PVxt6AdxBoRIH25rN3WueOCR/hXtO7\ndN2CRfKZCVx0lpIGL/uZQOvWvr0S3keiKx7Srq18YzLtvVm0TjLMaECdM2V+yF4mGDu9c6dE\nd9No6003geK35vw0m9++JnuXJqqgIIBA+grEDZD0LsVaNmzYUKuWehfjJ554wt5ASlMoahpA\nCgIIIIBAfIGcd/8tOZM+tSvqfYWypk+TnMmTpOTCi8XMKo6/A9ZAoJkFCk3yhn8M7CcrzTzl\n5WXl0sNcL3TKabwA/4bePeW3JlCabO67pCnF92xVIPu3btWsCjrK5saFS2TiuvV2WKIGbfct\nXSHnd+0sF3Rj+kGzNg4HR8CFQNwASfOMa775xx9/3N6MSzN7hJYzzzzT3iVXbwil6WZTKetG\n6HnyHAEEEEgVAe050uDI3nB1+0npfYVMPnnJe+dNKT3ZO6mzU8Wc83AnUGSG3b1lem+W2EAo\nR45q364mGOpiMlfpoynKrqbHSB+pUl5es1beM7+3miyi3ARLTnnM3GR3WMsWsl9gxL6TAABA\nAElEQVQzB3DO+fATAQTqJxA3QNLd3XzzzfbmVZqMQW++dcstt4Qd5aqrrhK9m67eUMrpcQpb\ngRcIIIAAAjUCWT9OrXke+iRQXWV6kn4MXcRzBJpdQDPIjZ37sx3WpkGAzjN6wgQAD5reo91S\nKFhpDqhXzD2ktDcrsuii10zwRIAUKcNrBNJDIKE033pX36efftretXbatGlRa3b77bfLQw89\nFDdHetSNWYgAAgj4SCBQWioS8m1zWNUrTTJjc78XCgKpIFBhPouX/7zA3kTW6SGpMJ9dzVR3\nxc8Lpdznn9V1FdGSj29rOU12QUEAgfQUSKgHSat29tln24feXThWGTt2rBx//PHy/vvvx1qF\n5QgggIDvBar69LPJGUSH1YUU/da5uktXc4e6hL67CtmSpwg0jsBUk3yguDL8c+ocqcQERz+Y\n3qW9TGIGv5aB5qae/zOJrCI7kfTiaseIKQl+NWpovaPNfW/ovhLdTqeKUBBQgXr/Lxw5BymS\nsWPHjnL66adHLuY1AggggMB2gYrddpfqdu0kmKG5v7YVe4Flhi6VHTXGWcRPBJpdYLMJ4jPM\n5zJa0U9vcUSQH209Ly+7qHsXm00vtI6qpWZndkk8I2Do9jxHAIHmF6h3gBTtlDdt2iQ69E6z\nuVAQQAABBOIImJtebhl7sVQO38XceDXbfvtc3bWbbD3vAqnq1z/OxryNQNMJDDW9IDqkLlrR\nIXf6vp/LLuZeUH8f0Ffah9zItmdujjw5eIDN6udnG+qOQDoLJDzEbvr06fLcc8/ZTHXXXXed\nrXOV+ebotNNOk9dff10qzFhbzXaniRp0OB4FAQQQQKAOAXNhWXrSKSL60HkcDKurA4u3mlNA\nb9L6b3MD2dAbwuoNWo8xmey6mWDA70VTjX+481BZZtKdq0tTZfTzuzv1R6AxBRIKkObOnSv7\n77+/vReSpvV2yrXXXisvv/yyfU/vifTGG2/IeeedJz179pQDDzzQWY2fCCDgQ4HAhvUSKK+Q\n6g4duPiP1/4ER/GEeD+JApp4Ye7WUsk2d1ztn5cXdQidZq67ceFim9ZbD11gPqPV5uJ/i9m2\nIDNDzjQ3lD23S+cknlV67ypgbPQ+UBQEEPCGQEIB0kknnSSZmZny7LPPyqmnnmprvnz5crnn\nnntk8ODB8sEHH0ie+SN76aWXyvDhw0XvifTdd995Q4haIIBAvQQyViyXvBdfkMzVq+x2wbx8\nKT36GKkcsWu99sPKCCCQfIGJa9fL7YuXylbttTRFh4bd2a+37B6SrnuBybJ4/pyfw4bWbTbr\n65yjZ83QsZ3NsDIKAggg4GWBuHOQNIvIDz/8YLPTae9R1vZxthMmTDCjQqptUKTBkZbCwkLR\nYOrHH3+UsrIyL7tRNwQQiCIQKN4kLR55UDLWrK55N1C6VfJeeVEyf5pZs4wnaSZg/tZnrFwh\nGUsWi2gackpaCny5qVhuML1C2guks4r0UWTa88K582Whpp7fXp5csdrc86j2vCNd8szKX363\nnfX5iQACCHhNIG4PknPfo0MOOSSs7p988ol9fdBBB4UtHzRokJSbcbg6LG/YsGFh7/ECAQS8\nLZD95Rf2AjoQeXFlXue+N1Fk75HeBvBg7TIXzDc9gs9LwCTjETOMSLKzpezIMVKxx54erK23\nq/TI8pUS7Q5bGgyNW7VGbujd0wLMMLfziJbYW7f9actWbyNROwQQQMAIxO1B0uQLWjroPILt\nRbPVffTRR9KrVy8ZMGCAs9j+XLJkif3Zo0ePsOW8QAAB7wtkLlsqgShpf23a26I13gfwWA0D\na9dK/pOP2eBI21AD34D5Aiz39fGSOXOGx2rr/eosKI0+skODoTkhgU+HkIxskSrtsuN+rxq5\nCa8RQACBtBOIGyDpnCItTk+SPv/mm29kzZo1ookZIssXX3whGhxxs61IGV4j4H2B6tZtJBiI\n/mclmO/vdMDp2Po5n0+2GfY0OAor2iP4n/fDFvEi9QU6xghutH27hmSjO75jezvfKLJGGhqd\nYN6jIIAAAl4XiPtVkPYcjRgxQm6//XbRm8DutNNOcuWVV1qXM844I8zn+eefl/fff19OPvnk\nsOW8QAABfwhU7L6HZH/7da3KBk2SlwozvC7uH5xaW7KgOQU04UbAzFeJLNt6BIsiF/M6xQVO\n69RR7jQJGqLNIjux4y+jRA5p11amlWyRF1cXSbYOqzRFU3wf2aGdjOlAgJTizczpNbLAihUr\n5LHHHgs7SkFBgfTt21cOP/xwm7RM3xw3bpx06tRJIqeohG3Ii5QVSOh6Zfz48bL77rvbBAxO\nTTTF969+9Sv7UpMyXHLJJTJp0iTp37+/PPjgg85q/EQAAR8JVPfqbeen5L7zppiMLmYWuJnW\nbYbcVe4wVMp/c6Dk+8jCC1WtbttOggsX2KF1kfUJFhRGLuJ1igsca3p/5m3dKi+tWSu5JvDR\npAt6E9g/9egWlsVOq3Flz+5ylLnP0edm7lm1WXHvVoUyrCW9wCnexP49vcoKyXj/PQl8/ZWI\nSQwU7NFTqo8aI9Knb9JNNIvzzTffLHvuuadoYKSlpKREZsyYIW3btpWvv/7a3hdUA6Qdd9yR\nACnpLdA0O0woQNKgZ8qUKfY+R3PmzJHRo0fLMcccU3OGGk1rpjvNYHfTTTdJu3btat7jCQII\n+EugYp99TUA0RLJm/SSBinKpNP9BVffu4y8Ej9RWe/2yf/hfrdoEzT1xyvfbv9ZyFqS+wFW9\nesgJnTrI/4pLzE1NRUaawKdzTvSbvQ5ukS/6oCCQ0gImyM94+CEJLPj5lzmwP8+TzPvvleoL\nL5bgwEGNcvrai+RMQ9EDLFq0SHbddVe544475B//+EejHJOdNp1AQgGSnk7v3r3lj3/8Y9Qz\n054knZOUbbIbURBAAIGg+ZJEAyVKegvYHsFjjpfcN18TczO8bZUxaaEr9thLKkbSvunaun3N\nrTn0QUHACwKB6T+GB0emUjowNKi3J3j5Ram6/qYmqaZeJ48cOVKmTp0a9Xjz58+XBx54QGbN\nmiUtWrSw6+r9Q3O2f0Gh9xp94403bCZoDbx0Oot2OGiytAsvvFCuuuoqefzxx2X69Omyzz77\niI7keu+99+w9Srt27Srnnnuu7LzzzjXHfuedd+z+NHDr3r27nHLKKXLYYYfVvM+TugWiz6au\nexszaiYoixcvli+//FI0a502LsFRHDTeRgABBNJQoGLPvaTkmuuldMyxUnbEUbLlsj9J2THH\nbUv5nYb14ZQRQMBbAoF5c20ymchaaZAU0HvymWGlTVF0mN3kyZOlT58+tQ63YMECG7ysW7dO\ndP7+wIED5dZbb5Xrr7/ervvcc8/JZZddJvvvv78djfXxxx/b0Vr6ZpUZpv7EE0/YoXqZ5ouq\nvfbaS/72t7/JoYceKjfeeKMNlubNmydjxpghhduLTnU59dRTpV+/fnLWWWfJFpO6X+dHffvt\nt84q/IwjkHAPku5HG/7qq6+2N4LdvHlzza41QNKo9JprrpG99967ZjlPEEAAAQTSXyDYqpVU\n7rZH+leEGnhOYLFJXf7oipUyZXOJtMrMkqNNIgnNtJcZ0Mtjii8EdPSSGfar810ji86zq+n9\njnzT5euHHnpIunTpYjsNZs+eLRrUVJoedr1Ojiz6vk5D0R6gDHOup512mh159dVXZs6UKZ9/\n/rmd63/55Zeb280FbKD01ltvSVnZL6n5dfs777zTrq/7e/HFF20nhWaO1t4hPRfNCaDJ1Fav\nXi333HOPnH/++XZ9DZY00Zoeb489+FtuUeL8k1CAVG26KbUr7+6777YN++tf/9pGpS1btpSF\nCxeKRq7akPrQBtEGpiCAAAIIIIAAAo0lMNvcu+msWXNthj29NF4uFTJv6XL5elOx3Degb2Md\nlv2mmED1sJ0k8z8f1DorveVE0PSgmGFOtd5LxgIdSqfD5rRoxmcNRsaOHWtvdRO5f+3tGTVq\nlA2ifvrpJ5k5c6b85z//sUGNrqvZn7WjQe8tqj09RxxxhFx88cUm11GWlJaW2t1psjSnaG6A\nYcOG1RzLuVfpypUrbYB0yy23iOYHeP311+2QPj3XraYnzdmXsx9+xhZIKEB67bXXbHfe0KFD\n5YMPPrBjGSN3qb1LF110kVxxxRWy2267iQZRFAQQQAABBBBAoDEEblu0VMrNkH/bS7D9AJqO\nfPLGTfaxf+tWjXFY9plqAn36SnDUASKffmwzp2rfod5aQnJzpfqU0xrtbB999NGwJA11HUjv\nJarpvnXElQ6j23fffUVHYmlPkJbf/OY3NhmaZr6bOHGi/POf/7QJHz766KOatOGRCdAKC3/J\nJKq9TqHl73//ux3Vpb1Jeqzjjz/eTosJXYfndQskFCBpl163bt3sZDCd6BWtaIPrhLAhQ4bY\nNN8ESNGUWIYAAggg4FqgrFSyTEbVgPlGtKp7D6mO8f+S6+Owg5QVKDMjW6abeRXRigZMX24s\nFgKkaDreXFZt5kgGTLa6wDdfSVCngPTrL9W/HiWSIrcj0LTgO+ywg+010nlEWj777DM7v0if\n6z1ENeDRe47qQzNDaxpxXX700UfrKgkX7SnSYX466kt7obToPCad+6QjwiiJCcQNkBRTu+Y0\ng13Pnj3r3Ktm8NBIVRuWggACCCCAQLIFMufOkfznn90230C/NTVj/iuHDJXSU8/Ydu+tZB+Q\n/aWkQPj35bVPMeIL9dorsMRzAsEdh4k+UrHo/KCff/7ZDnPT6Slvv/22vPrqqzZZg56vXmdr\nj5RmpdNhdjpUTucz6VC6+hYdlte+fXu7D72G12F1mhFP5zMxxC5xTTOrre6yfv16G3FqCsFE\nSq9evWTZsmWJrMo6CCCAAAIIJCwQ2LRR8p99SgLmP/qAuXgImPS3ATOkKmv2LMmdOCHh/bBi\n+gvkmInuw82Na6NdxGjwtK+5vxMFgVQR0Ln5rVu3ls6dO9v5SnqfpLvuussGTZvMzZgvueQS\n22OkacK1J0kTMtx///02cUN966BZpTXL3UsvvSSdOnWy85z0hrY6z4kOjMQ14/YgOdnq8hK8\nZ4LeRVi79ygIIIAAAggkUyDrh++j7i5gho9km6E1mobcZrOKuhYLvSZwfe8ecuaseVJuviXX\nJA1a9KLmN21byz7MP7Ie/JN8AZ1nr7e7iVd0zr5TtFdo0qRJsnbtWjsPyZk/pIGRUzQrnfb4\naCeDZqZz5hXp9Xfk8TRFuD6copnxQtc5/fTTRR9Lly61AZL2KlHqJ4BY/bxYGwEEEECgmQQy\nNm60Q+qiHV57lOz9TszwFUrzChSbgHVGyRbJMxdtvzJfmjZWGZCfL68OHSyPr1glP5g0362z\nMuXo9u3kGJPqm4JAKgro0Le6igY68aaz1LV95HsaaFEaJpBwgLRq1SqZYybFxis6JI+CAAII\nIIBAsgWqO3TcNs9Ig6GIEjQZq8zt6SOW8rKpBV5YtVruX7bSHrbafMte8PNCub1PT9m3kXp0\nuuXmyE1m/xQEEEAgmQIJB0i33Xab6IOCAAIIIIBAcwhU7Lqb5PznfZugQeceOSWYkSllB4wW\nMybFWcTPZhD4cP0GuXfpCgnNk7XRBLOXzlsg43ccLH0THKqfzFNfZuarTdmsvVkB2dPM7Sg0\nvUwUBBBAIJ5A3ABJx0leeOGF8fbD+wgggAACCNQtUF4uOV98Jpkzp5v1AlI5bCepGLmviJlU\nnFAxF9hbf3+h5I97RqSoaNt8IxMolf/q11Lxq1EJ7YKVGk/gseWrwoKj0CP9a1WR/NnMGWrK\ncveSZfKv1UWSYwJnDac1fP5/fXrJwe3aJHQaFeazNXHtevnK3Hg2y+zjADO36TdtWie0LSsh\ngEB6C5gv4UK+hkvvujTo7DeaMe2aH94rRTOV6I3IdKijz5s2KU2q9yvIN+PcnWQlSdmpj3ei\n6U1zzVCoDRs2cD+GJHwOdLy6mhYXFydhb428C/NNftZ9d0ugaI1oUgUtejPHYOcuUnnp5fW+\n231gxXIRcx+cYNduSRtap7/r+tCsUppil1I/gd2++k62mknm0cru5svW53YaEu2tRln2LzMv\n6S8LF4veODa0aNa714cPk0EmA15dZav5jJ45/SeZs2WraKCkwZXphJLR7drKvYMG1Eygr2sf\nyX5PJ+u3MMNI9fe9wmRwbOoSeaPSxj6+/j/R1KVNm8SC56Y+L47X9AJxe5Ca/pSa9oh6gaEp\nEb1StD5a9CKU4l5APfWRaBZH90f09h6cG+Tp55MA3n1ba5ajVP582jbW4E2zMP33E9Prs2bb\n/Yu2V10DpcCqlZLz+WTJOOy39QPp269+6yewtpPpSb9kcp4nsBmrbBfompcr801AEVl0UFu/\ngpZN+nf0mRXmPjIRwZGelwY644vWyq0mmUNd5QEzLNAJjnQ9DbOqzD8frdsg723cJMd06VzX\n5o3ynvOZ1M+n87e0UQ7EThFAQOIGSJpuUPOy17csXry4vps0y/r6LaGXegc0zbr+EdVvmLhj\nsvuPlAbP2iunPY0U9wJ6Hwj9fOrvHN/Qu/fUiyT9xjMVP59Z//tWcv89QTK2lEhQhziZ36WM\naL31ZlnVd99I8T77uQdxuQcdUq6/8yUlJVJuhgNS6idwRsf2ctuipTUpt52tNbg4pk1hk35O\nV5dFbz/tu/zZDJmL9zvzhgmwtOcosmjQ9frS5XJAfl7kW43+WnuLNTjSz6fe9LOpi/ZeURDw\ni0DcAEkvYpYsWWI9NI+7XoBTEEAAAQQQiCWgwVHea+MlsH24lU2oUFfAURV9WFas/bM8NQXG\ndGgvS0xg8vTK1b/M+zHB8c1m7tEOTXxx3dUEEouiBBFZpgtpQALBTWmMoYIqvzlaoJ+aTcJZ\nIYBAAwXiBkgaEJ1wwgkyYcIE0V6hoUOHyimnnCJHHnmkHfvewOOyGQIIIICAFwXMN+zac+QE\nR04VdWiTfh+vP0OLzkOqHDI0dBHP01jg4u5d5QTTkzTF3Jco1wxPPrh3L6lohh7487t1lhsX\nLK7VmxUwn8ATO3WIKzzCDAmcZIbSRYbu2Sbg27OwIO72rIAAAuktsG3CSh11aNWqlbzyyiuy\nevVqefrpp+28gbPOOks6d+5sA6W3336boQh1+PEWAggg4CeBQMlmO6wuVp11uJ1TbJIGM6yt\n/Ne/cRbx0wMCXUzvzaEmmcEBbdtI62aa43u4Of6lJljTgEYz0Ok8qLYmxfeDA/tJzwTm6F7S\nY9u2oRdJug+9Ge1pnc39uCgIIOBpgbg9SE7tdR7Gqaeeah+aIe3111+Xl156SY499ljRcdvH\nHXecDZhGjRrF5EEHjZ8IIICAzwSCuSYhg7kgDb1PUQ1BZpZUde0qGcWbTFeSSfM9ZEcpG32w\nmNRxNavwBIFkCZzRpZMcY3qzZpbofZAyZKjJXKfBUiJF79n0/JCB8tfFy2SKmfOTYXqe9jc3\nu72qZ3cTJCV86ZTIoVgHAQRSUKBBv+U67O7cc8+1D+1ZGj9+vO1lOvjgg6VTp05y4oknyv33\n35+C1eWUEEAAAQQaVcD0GGjgkzXrJzPMLuIWCuZ16cmnSbBD/CFOjXqO7Nw3AgVmCOeerQob\nVN8BJnB/fPCABm3LRgggkN4Cob3HDaqJBkQXXXSRPPDAA3LOOefIqlWr7PMG7YyNEEAAAQTS\nXqDsuBOkun37bfc5CmRI0Hzjrr1KpcefRHCU9q1LBRBAAAHvCzSoB8lhmTJlSk3v0bx58+w9\nDo455hg56aSTnFX4iQACCCDgM4GgSUe85Y9XSNaP0yRz2VIJmgxmFTsPl2B7eo589lGguggg\ngEBaCtQ7QJo6daodTqfD6ubOnWtz8h9yyCFy8803y1FHHWXnI6WlBCeNAAIIIJA8Ac1Ot8sI\n+0jeTtlTOgtUmwyHs7dula0mrfvgFvnS0nxGKAgggEAqCiQUIE2bNq0mKJozZ4690ePo0aPl\nuuuukzFjxtgbFaZi5TgnBBBAAAEEEGh+gakm7feV8xdKUUWlSXggkmGGXP6hWxc50yRSoCCA\nAAKpJhA3QFq0aJEMHz7cJBwKyMiRI+18I81c1yFkkm1paWmteuWZDDAUBBBAAAEEEPC3wCpz\nk+Dfz/lZykwPkhZN3VFlnj+wbIW0zc6SI9u3s8v5B4F0Evjvf/8rH3/8sSxcuFAGDRokBxxw\ngL1OTqc6cK6xBRJO0hA0f8y++OILufTSS6Vnz54mK2t+nY/Yh+QdBBBAAAEEEPCLwPg1a2vd\ncFXrroHSo8tX+YWBejaBwKbKSllWWiY6nLMxi04r0ZFUEydOtKOqXnzxRdlvv/3kr3/9a2Me\nln03oUDcHqSWZrLt6aef3oSnxKEQQAABBBBAwCsC87aWSkWMC9YVpneJgoBbgVVl5XLNnHny\n5UZzjzVTCs38tiv79pITu3R2u+ta269bt05uu+02efTRR+3tbpwVbr/9dvnzn/9sl4WOsnLe\n52d6CcQNkLSRx40bl1614mwRQAABBBBAICUEeuTmiF5sVEY5m3ZmiB0FATcCZdXVcuq0GbKq\nvKxmN8VVVXLLvAWSaaaHHNc5ufPcli1bJlVm/4MHD645nj65+OKLZcuWLbJhw4aaaSia7fnB\nBx8Una4ydOhQueqqq6Rbt252u88//1wmT54s/fr1k+eff952Rixfvty+r/cTdcoNN9wgo0aN\nkgMPPFC++uor+eSTT+xrDdA2b94sZ511lhx22GFy11132ZFeuu7vfvc7adeOoauOYUN+JjzE\nriE7ZxsEEEAAAQQQ8LfAMR3aRx1il2UuXk/rROp3f3863Nd+wpoiWWN6IisjRtXpEM57Fi52\nf4CIPQwbNkxGjBghGsTccsstNmipNEP7WrVqJdqLNGDAALuFzk/SufsaxJxwwgny9ddfy847\n7ywaBGnRpGf33Xef7XVq06aNbDUZHnXI3pdffmnfd/555ZVXZPr06falZo++55575Pzzz5dd\ndtlFss2NuY877jg59NBDRYMxzSqt9yVlqJ+j1/CfBEgNt2NLBBBAAAEEEIgj0D8/T/7Sr7fk\nmIBIH3nmETDbHNm+rZyZ5G/345wKb3tQYNbmLTGHcK4zWRM3mEcyiyYt+/TTT+WII46Qv//9\n7zYI0t4avQeo9hQ55U9/+pPt2dH5Seedd54NfHr16iV33HGHs4qsXr1aXn75ZXnuuedsT1DN\nG3U8Wbt2rTz77LPyxz/+0W6XZW7ErT1Xup8//OEPosd9++2369gDbyUiQN92IkqsgwACCCCA\nAAK1BJaVlcnba9fLCjMHpK8JhMZ0aCdtzQVbZDmobRvZs7BAvt60WbaaIVHDC1pIH7LdRjLx\nugECmgkx2wQt5VHmuWkvZcvM5PcFaG/RY489Jg8//LB8++238tFHH8njjz8uu+22m0yaNEn6\n9+8vet/Qrl27yjXXXFNTq0wzN+q7776reZ2bm2t7gmoWJPBEAyLNLq1Fe5A0cZr2IDmlY8eO\nsmLFCuclPxsokPxPTQNPhM0QQAABBBBAIH0EJm3YKGNmzJKnV66Wd9atl0eWr5Qjf/xJZplv\ns6OV1ubC7uB2beRoE0QRHEUTYllDBH7bsYMZXhcxvs7sSIOmQ81nLTsjuZe6mt57/Pjx9lQ1\n4Nl7773tMDkdBldYWGjnE23atEmqzRcBBQUFkmGO7zwOOuggOyTOqacOrdP3QotmjQ4t5RGJ\nTFq3bi16XKdoj5YGbE7R1xT3ArW/5nG/T/aAAAIIIIAAAh4W0EnwVy9YvH3ex7YLOv0GX7PV\nXfHzQpkwbIi9f6KHCahaigj01iGcgwbItSaLXZYJNpwU3wNb5MtN/fsm/Sx/+ukn2yt0+OGH\ni2Z6dooGQ126dBGdj6S9OBq0aEKG0CF1H3zwge31cbaJ/Kk9SjpnySm6r6VLlzov+dmEAuFh\naxMemEMhgAACCCCAQHoKfLWpuOZCNLQGGiqtKK+QuSa1NwWBphI4yiT7+GD3EXJZ757yfz26\nyd93GCiv7rKTFEYZ7un2nMaMGSMtWrSwc4/eeuste6PY77//3s4J0kQJOhdJy9ixY20WaJ0P\npFnvdOjd0UcfLUVFRTFPQW84O2HCBJk3b55oL9QVV1xht43sVYq5A95ImgA9SEmjZEcIIIAA\nAgj4Q2CzueDL0JE84aOBbOX1m1d9P5WK3kD01aK1MqNkq7Q3c1Y0QcROId/+p9K5ci4NE+ie\nlytnd+/asI3rsZX2Eum8o3POOUfOOOMMKS4utsPkdtxxRzsXSechabnppptsb9Dxxx9vbybb\nuXNnufLKK21Gu1iH04Dos88+k4EDB0qemaOn6br1hrQMm4sl1njLAyYqjfLnrfEOmGp7Xr9+\nvZSWeuebrrZt29pfqlWrVtnxr6nmnW7noxMgtdtcPycU9wI6dlq/eVuzZo0dhuB+j/7eg45D\n1zHsmtWI4l5A5w/o77t6Ro77d793b+1hnklJfOLMOdHiI9HZEZ/uMsx+e9++ffs6vzFvCpXF\npWVy1uy5UlJVbYcA6vlVm8flPbrK6WmURU+Hc+mwLb1RaZlJjtHURRMONGXR+wk1ddG/p/Up\negm9ZMkSe88h/dsRrVRUVIhek/Xo0SPa21GX6fr690j/v6Q0jwBD7JrHnaMigAACCCCQtgID\n8vPlEJOZTifCh5Ys8/L8rp2lIGQSeej7zfH8BnMvnE2VVTWpoLVvS78ZvnfpClnooS9Im8PW\n78fUnh1N3R0rOFIf/aK1PsGRbqO9TQRHKtF8hQCp+ew5MgIIIIAAAmkrcGvfXnJW547ScnsW\nrnZmvsefenSX87t1SZk66dC6aSVbot6oVoO7TzZsSplz5UQQQCB1BJiDlDptwZkggAACCCCQ\nNgJ6j5mLzJwPfZSblMY5EemKU6Eies+lWCVo+pG2pNhcqVjnynIEEGhaAQKkpvXmaAgggAAC\nCHhOIBWDI0XuZIY3ac/WOtOTFFl0BnauCequnr9Q1lZUyrCWLeTUTh2lU0525Kq8RgABnwkw\nxM5nDU51EUAAAQQQ8IuAzhG5pld3ibzY0eF1HU0g9LC5ue2H6zfK/zaXyAur18ix5sa3moCC\nggAC/hagB8nf7U/tEfCUQGDNasme/qNIWalU9+wtlUOGism/6qk6plJlMmfNlJxJ/5WMdWul\numMnKR91gFT1H5BKp8i5ICAHmWQSeQMy5P6ly2W+yWinCSRGtW4l76wLz05aaXqUqoLVcr25\nAe5LQwcjhwACPhYgQPJx41N1BLwkkP3l55L79psimj1L5x2Yb4iru3aTLeddYMbR5KZ9VQNr\niyR72lQJlJRIVbfuUrnz8G11baaaZU/+r+ROnGDSgQVF85gFTEre/HlzpfSEk6Ry192b6aw4\nbFMKaIrjLeZ3rWUKZayLVf/9TUCkD6c8uWKV5Ji/EeU6zi6k6KvZ5ia3682QvLaNcJPRkEPx\nFAEEUliAACmFG4dTQwCBxAQyli+X3LfesBfq5gZLNRtlrDDLJ7wtZcedULMsHZ9kff8/yRv/\n0raAyEwqzza9YsGPPpTSP1wi5kZITV6lgLkxYu67/xZzI72aY9tkz+Z13huvyeZhO4nkpH9Q\nWlM5noQJVJig6B9maNr4NUVSWh2UViZA+n23znb+TtiKKfyiwnxWf/n01j7RClMvCgII+FeA\nAMm/bU/NEfCMQNaU77cNpYvIWBXQYOKH79M6QAqY4WsaHNlgxAn+NPPW+nWS8/KLIldc1eTt\nmLlgflRveyLm3DLNjRMZatfkzdJkB7zGDEGbvHFTzX2FNpk2v88MXys29xo606T9nmCGrs3Z\nslXamQQJp+blSesmO7PED7RbYYE8YXqRohVN7ECihmgyTbusvjdtbdqz42heFyBA8noLUz8E\nfCAQKNksgYjgyKl2oLJCbK9Smg6Xyfpx2raeIyc42l4xrW/mrJ8k2Bw3ugy/N6hDzU8fCMw2\ngc8nGzbW6n3R+TuPm4Dj1TVrRQMmHbqmiRA0CLmlT085on07mwr8rbXr5MuNxSYleEAOML2f\nB7VtbUbDNv0Hag8TIO1nhtx9vqlYKv8/e+cBH8V17f8z29W76EV0MDbgDu7dxAXbcXfs2I57\n4iSO49T38kpeXur/JXnxs+MS17h3bNwbBgMGYzDGgOgI0YVAffv8z7mrFast0kraMrv7u5/P\nsjN3Zm75zqKds+fc3wnxhMqKxX8ZNTwH7iSmCAIg0BMBGEg90cExEACBjCDgHzac9C9XkhZm\nRMjg/WXlRBlqHMn4tY72wJoq2Qkr6rEyDYpbvpqxMcckrH0jRoaNNMN2eT2V9fOlZGpuJn/1\nIPJMn46Qwc5b+DUnXbWzQeMMMSqCd5f9mkpOO5h5SMLYpPz71u00JT+ffrZlG21lkYRg/fus\nHvd2YzH9aexoMqXBSJJ+H9+9l15q2E9N7P0an+eg73NOpyPZeEIBARDIbQIwkHL7/mP2IJAV\nBDxHH0O2jz8iam3p5knS+aHLdd75GT1H/1D+NTvGw6Oel09UwgFMB7qrcSV7wnphIbnOn0P2\n11kUgx+CxVBTj8Ly4HwJr/ey2ZI9hKS172UhDNtf/oeZcxcSysjra2zvvU3tt32X9IrKpPWb\nKQ2LAlzQAIo25mjHJKHsb+vqaQsbR6HeGjGo5nOo3p0bt9DJ7M05t7yUSlL4Y4aM6ztDBqlX\ntLmgDgRAIHcJQP82d+89Zg4C2UOABQHav3sn+WrGdIX++Pkh3nnlNeSdekRGz9N72FTyV1aR\nbmJ1vpCis1CD+/wLSEuTjLln1gnUcePN5JswkXxsOIikesetd5B3+oyQUWbYZnsbOf/2F9J8\nXuWNlHVf4pXUWlsp759PZNhkkjPcmSVFZI5isPcUJCdG01oOzQs1joKjk2OLOMztf3gN0ze+\nWkurOB9RPKWRE7v+345ddFPtRrpn01a1Jiqe63AOCIAACMRDAB6keCjhHBAAAcMT0EtKqUMk\nvTkHkuZyk15UFNPzYtjJ8AO5ac9u9lz4yT94cGDtEf9i386Gh+OVF8nCOZ7kod3P4Uqub5xP\n+rHHp3UqvvETqINfWVMkhxbzDS/C3MyKiCKYoZdXhB/Oqf0i/jz+Ycwo+hEbJVIkXE7ksiXs\nroPXxR3SkFSH1T9CNJLqoeOyJWuW5PXDTVvo7cOn8Bql2L/f1rEn6rp1G5TEeDBc70NeF3VN\ndSX9aMSw7g1jDwRAAAT6QQAGUj+g4RIQAAEDE7A7SOdXphXzpo3kePZp0lqaA4Ydh6k5L740\n4JFhg8h5zXX8NOph489FekGBOqe7TynTZmzA8fL6mpjhjGwAaOwF0XlJW64XETd4beokmrf/\nAO12u2kk5xl7k5XrNnL+oPAiDxlT8vOokkPnJJxOwup6Ki3848DnLa00i/uIVf5j23Zq4fDH\n0HA+2f7n3gY6k5PCHlHI/z9QQAAEQGAABGAgDQAeLgUBEACBRBDQ9u2jvEceUmteVKgS/5JO\nbAg5nnuaOtgYEk+NKiw/rPMLJUkERFwiitCH6o09Gv7qqiR1nHnNDmED/iZevyPlJVau28xe\nnWjGzyCHne4fP4b2cUjcIs6fpXN+oVDDJnzmFv4PcFDWfsUo4qX6IkYYnvxgIEYYDKQY8FAN\nAiAQN4HYPuy4m8CJIAACIAACAyFgWzC/S+ygWzsSvvT+u92qEr7DD5zWJYso776/Uf6f/0j2\nua+SxuptOVnGjSPTxEmkcxhZaFHrvU4/E0p2oVBCtheG5EQKqVabB9jrmc88R7Gh9PTkCXRc\ncaEKyQs/L7jvYgNqYl5ecDfiPdo6puBJYni5keA1iAPvIAACAyAAD9IA4OFSEAABEEgEAfPO\nHd3U94JtijfJtDd6MsvgOQN6ZwPM8cSjZFm/nvsP/Gpv2tfAyXWXU9v3fsiqbbm33ibvrh9T\n8z8eItOypYqJzuFjrjPOIs/Jpw4IdTZf3JNEt0nJAQZmX8NJY+8bP1bt/GZbPUlOpOAaIqmU\nvEmncGjdWJbbjlVkDdRovidb2cMaXji1Eh1VlNjwOpE1X8IiEjw0mlVcRJM43BUFBEAg+wnA\nQMr+e4wZggAIGJyA5Goy1W8PeZQ8NGC9KPZajENn9W9LRB8s62u7GWdiKOkS3vfaK6xSd1P/\nGs7gqzR++PZecRW5L5hDmpPXHOXzA3cPggEZPNWEDf200mL6pKmJVeq6NynhcqdXRZdG/9nI\nYVRsMdM/9+zrSir7zcpyumv40O6NRNn7JSdyvW39JhWqF+xSjKvpBfnKwIpySb+q/ovXOr3c\n0KgMN2ng3h276cqqCvrJSCSS7RdQXAQCGUQABlIG3SwMFQRAIDsJeI6fSZavVvHkgo97gXlK\naJfnxJOSNmnzujVRE75qHHZn3rQhaf1mRMMsKqAXshIiSq8EZpeXKcGGz1kOPWgkicFSzN6e\nf504XuUnC29EpMLv5KSstw0dTAd4fVIZG0vWOA3RozmR66OTxtFf63cp+XDxKl1YUUY385oo\nTVw9CShz2TB6lV/yP1LU9YLleV5vdTiLQMicUUAABLKXAAyk7L23mBkIgECGEPCNHceJVy8k\n+7y5RMFEmSwW4Dl+FnnikfJmj4958ybS3LxQfsQoVlqLT2pN62m9hjwUyitBD5wZciswzH4Q\nEGPnbyzEIGINbzceZLlvH83kcLTr2WAZzGuPGjiBc6wihlS1re/CI4ezeMnDE8fFanbA9S/w\nXKJJRUjdi3wMBtKAEaMBEDA0ARhIhr49GBwIgECuEBBPkXfq4WTZUKvU7HxjxrJqWkAlrCcG\n/lVfUuGD9wfU1+QXeF4U75l1Irk4RKw348bLggSWVStVf6F96PzQKv33dn3oNUbbNm3bStav\nVys1QF9NDXkPnxbIK2W0gWbJeCz8mbmC8xDJK1gS5c0JtpfK9/1eT8zu9vP/MRQQAIHsJgAD\nKbvvL2YHAiCQQQT00lLyHHNc3CPWGvaR9//+1iWwQJ3yyNbPFpO/rIw8J53SY1veI6aRb+kS\nMrMxoXVeK2F94sVyXXhxj9ca+aDtrXlkm/9RYO2QqPR9vpT8rBTYfssdRLzGCAUEeiMwmcUY\n9ribIiTJRd9wCoQaesOH4yCQ8QQg853xtxATAAEQyFUCls+WsJcncvZi7Ng++TjyQHgNG0Md\n37mF3GedQz72VvnZQPNOm0FtP7ybvVfV4WdnxL554wY1d8Eia6nUO/Mw7d5N9rffzIg5YJDd\nCSxiGfGfbd5GN9VupL/xuqNUeHBulfVM3Yeh9kSxL5j/KcphVIEACGQJAXiQsuRGYhogAAK5\nR0BraIgIjwtS0DgpZ1yFF7i7Tz1dveI63+AnWVauiDpCMRpFvtw1J3M9Y1EnluWV9+7YRY/u\n3qvEEnhFHK1i2e3n+XP/xKTxJLLhySoT8vPo7xPG0r9traOd7kBI3XBOjvvrmpE0pgcZ8mSN\nB+2CAAiklgAMpNTyRm8gAAIgkDACunh52MAJhtaFNqyXlITu5sy21t5GWojqWLeJu93ddrFj\nbAK17R30SKdxFByp5E3y+XT61ZY6epITzyaziFrevMOn0G7+3Ig3aRAbSCggAAK5QQAhdrlx\nnzFLEACBLCTgZZU7ydEjv6yHFllH5D79zNCqnNn2ja4h3Rz5258w8g/pPcdOzoDKgInO59xK\nonIXXvxcsZqNpxZvNJ258LMHvj+YDSMYRwPniBZAIJMIwEDKpLuFsYIACIBACAGdhRgsvF5I\nZ8ljMYp09iaJAp37tDPIc9zMkDNzZ9Nz3PFdPIKzVgYkcxEp9Vwq9Sz//htOdnrN2vV096at\nJGt5Mqm4WYbeH8sbyBNx62IqoYAACIBA4glE/syW+D7QIgiAAAgoAjqvA/EsXEBWXidiZqU0\nkbWWHEAo/SdgmjCR2n7xKzJvr+MnRjf5hw1XBkL/W8zwK+0Oav/e98n+8otkqV2nwu38VdVq\n7ZGvZkyGTy7+4a9qbaOb129SBoaXL1vDHpePDzbR7ZyYNVNEBo7iELfHOMQuWhnCuZMqrH3P\nnxStLdSBAAiAQDgBGEjhRLAPAiCQHAL8a7Z+71/JtXsXmTkJqiSXtC5ZRJ6ZszJaUjo5sPrY\nKnuOJLQMJUBALy4h5/XfCazNYiU7ysEH6V/yGh13mPdF/C337dxNZ5WV0KgkCBzo3F8T/whS\nwJ/HaKFxff18SrLZ4/m1tKWVZO2RFAm4k9e/jBwuuyggAAIgkBQCMJCSghWNggAIhBNQEsu7\ndqqHVrWqoPOBx7p4EXknTCLfpMnhl2AfBAZGgB/UlYjFwFrJuKt3utxUH0OQwsY/TCxsakm4\ngfTc3gZlfDWzgSRJY88rL6OfjhxGFQOk9+dxNfTIrj30SkMjtXDbE/Id9P1hQ2hGYeEAW8bl\nIAACIBCbAAyk2GxwBARAIIEELF+y/DI/4EQUNpQk5A4GUgQZVCSCAHuQzBtqybRnD+mFReSd\nchhRErwniRhqotrw9LI2x9v540Si+nuCw+D+tnMXeTvVQqT9NxsPUB17jecOMJ+WeKJu5bBA\neaGAAAiAQKoIwEBKFWn0AwI5TkCL8Yu2CpnpaM9xOph+Mghora2U9/DfybRvH8dlKb8l0dxX\nqIPD77I5JHGk3U5lFjMdiKLyJqFqx/DankQVNxugErYXNI6C7Uo/sg5q4f5GmhSsDHlfxmFz\nf9q+gzZ0OCmPBUZml5fSXcOHqvC8kNOwCQIgAAJpIQAVu7RgR6cgkHsEfMNH8KQ7H1JDpi/K\na74xY0NqsAkCiSHgePYpMu3dS5IkVuN1b/IiJz+QP/YP9Z6YXozXisbG4K9GjSD5gg/9H2fh\nnQsqymhKQX6Pg270eDn/0B76V17HdD8bPzvYExSriJfIFcMjJaF2q5ojlfMWN7fQbSwgsZ6N\nI3E6tbOR9dr+A/Sd2o1saHW6oWJ1iHoQAAEQSAEBGEgpgIwuQAAEiFznXcA5e0If1yggTV1Q\nSO4claQ2+ufCtGc32T54j2xvvkGW1V9xIiHjyCpr/OBt+eJzsi77jLSGhgiUWksLWTZuIC1s\nzOoTyIaSZc3XEddkU8WppSX00ISxdGRhAZXwjxA1Djv9ePgw+jc2nHoqa9ra6YLVa+mBnXvo\nDQ6Te5TD5y76eh0tiCERXhwl51Ro+6VRBDJ+V1dP4Z8kMYw2O1307oGDoZdjGwRAAATSQgAh\ndmnBjk5BIPcI+EeMJO1H95D2wnPk27ZVJTj1TppCrosuyfo1IZl4t60LPyH7G3OJWI5dGUbs\nDZBEq+0330bEIVzpLNbPFpP9tVf4M8QiDGzx2NngcZ94ErnPO5TnSAwk8UV0N8kPjVprifRs\nHDqaHVtHcijdwxPHxT0ZyTl09+at1MFGZdCPE1SP++nmbfTOEVOoiI2t0FLNcttT8/NpbXs7\nha8wFCPo7KoqohDWHezNq2MRiWhFjKQvW9roGyzwgAICIAAC6SQAAymd9NE3COQYAY1zHuX/\n529o325esyC/7AfXheQYB6NP11Rfr4yjoLclOF4TqxDa571OrksuDVal/N28dQvZX31Z5TcK\n9WjZPl1IevVg8hxzrBqTv4L103htS+g5XYPlB3H/ICz67+LRuSHrgfa6PV3GUehxD/9//Wv9\nTppTWU6Hc2Li0PL7MaPo+toN1MRrnsSgEmEFH79LfaXdRg0th8628j2R0JVwD5KcIaZXvhmB\nLcICBQRAIL0E8JcovfzROwjkJgH5FRrGkWHvvXXlFwHjImyEspbHumJ5WG1qd62LP43aoYTS\nWRfOP3SMvVzuE04iWeMWWnR+QPdXVpGPE+yidCcgMtphUbBdJ0iy2bm8Tuj6dRvpFl4r1Mbn\nBstQNoJemzqZfjpiGF1VXcmKc4NoLu+fXlYaPKXrXdYlnVRSrIyhrsrODWnxjCjXhJ+HfRAA\nARBINgF4kJJNGO2DAAiAQIYREPW38LU7XVPweKjwlz8lXdaOnXAieU46Jaox1XV+gje0xsaA\n9yhKu6YwQQD37PPUWbZPFyhPknjERBDEeeXVKR1zlKEasmpifh6x4ydmCYbbreR1Sv+1rZ5+\nyx6iYBElukuq4st69MtRw+m6tRtoP4dGSpvyS610e/OQQTS1FwGJYH94BwEQAIFkEoCBlEy6\naBsEQAAEMpCAb8QIFmVYFVB9Cxu/Crtj74HW3ET2d99W+YVcl18Zdlbydv2Dh5C+oz7CgJMH\nbB97hroVfmh3sziI+8yzybR/P+m8JkcvKu52CnYOEZD1RWKkPMwKduGy3YfOImXUvMNiCr/0\nDafCMA9d6HmxtqtYuOGlwyaq5K8rWQq8lNe5icy3rJkyWtHZgJPPlgkeb6PdGowHBJJKAAZS\nUvGicRAAARDIPAKeo48l2/yPiHryJPG0giF3npNOVgIOqZipeKysyz9XD63KWAt2yg+wYghF\nLRxu5x86NOohVHYnIAlZxWB5cNceahRZ9BhFjIb94k3sh4EkTebzddcMqlKvGF2ktXonC0n8\nN6vtLWFJclkvNa0wn34+YjhNYC8bCgiAQPYTwBqk7L/HmCEIgAAIxEVAa2oi69IlSjrbedE3\nVTiaPAhLCb4H9kL+5YdpEU5IVfFXV1PHDd9RIX46G0XqZbOR89LLyTcxWkrSVI0se/q5gtcR\nfTDtMPqv0SOU4EK0mclaokHMPRtLIxt+V69dr4wjWRcln/0vW9vpunUbaCvn0UIBARDIfgLw\nIGX/PcYMQQAEQKBXApbPl5Lj5Rc5lqhT1MDnJe/UI6j1V//JyVZ3U/7f74vZhh4l103MkxNw\nwDd+ArX98lckqnrE4X4iP04pHkMCpmH4Js5iwYR7d+ymfWwwHJJkYNRsHF1VVUkODmHMxvL4\nnn3UxqIfoXMWI0nWSwmPP40dnY3TxpxAAARCCGTnX7eQCWITBEAABECgZwKmHTvI8dILal2P\n5vXw2iN+8cOgZc1qsi1aSP5RNaSXlkX3IrGB4puQBs+NqNENG07+kaNgHPV8e/t91MaMH544\nlsbmOVQ+KfEaSVjjxSz1fefwIf1u1+gXLmtp5TVYYhJ1LxJqJ2umUEAABLKfADxI2X+PMUMQ\nAAEQ6JGAlb1HSnY97KFQrTFaskit7em45lrKf/B+0vmXdakXuWyRPHNyTiS9GMIHPQLO4IPD\neP3Wc1Mm0hYOLWv0eKnG4aBya3Y/OoQnww29fcjTFEoD2yCQvQSy+69c9t43zAwEQAAEEkZA\nO3gwQhUu2LjGks5S/CNGUtvdPyXr4oVk3rmL/GVl5Dn2ePIPHx48Fe9ZTEAMoxpHFk8wZGrn\nVZTRcvYihYbYyWHxoJ1fXhZyJjZBAASylQAMpGy9s5gXCIAACMRJQBTe9PXrlGco/BJ/xaHc\nNnppKblnnx9+CvZBIKsIXMBG0KdNzfTBgSalYCfBdmIcHc45mq4fXJ1Vc8VkQAAEohOAgRSd\nC2pBAARAIGcIeI6fSbaFnwTC50LC7EQhzn3O7MRykBA9lg/X8/P5qRNfQYmFi9YSQUDjz/3v\nx4ymTw420Xw2lHz8f+K44iI6h0UrkA8pEYTRBggYnwC+nYx/jzBCEAABEEgqAUme2n7rHZT3\n9JOkNTQExBhYwtl1wRzyHn5EYvpmw8j20Qdk+/hD0lgVTWe1PM/Rx6g+oECXGMRoJbEETi4t\nIXmhgAAI5B4BGEi5d88xYxAAARCIIOAfOozafvwz0vY3kOZ2k7+KQ4kS6OGxvTVPKeKJwIMU\nze/jhK/LSGs6SM4bbooYDypAAARAAARAIF0EYCClizz6BQEQAAEDEtArKqPLeQ9krO3tKoRP\npMNDixhLlvW1ZKqvh9hDKBhsgwAIgAAIpJUA8iClFT86BwEQAIHsJ2DevSsgIx5tqrzewzaf\nw+7akF8mGh7UgQAIgAAIpJ4APEipZ44eQQAEQCCjCZi215Fl7Roi9gD5xowh38TJPc5HLyhg\nnXBJsxmlcL3l69XKk9R+823sSRoR5SRUgQAIgAAIgEDqCMBASh1r9AQCIAACGU/A9uYbZPtk\nPpE5kCiWFswn37jx1PHtG7nOHHV+/kGD1ZomU8M+igizkyvYSNJdLsp74lFq++kvY7YTtXFU\nggAIgAAIgECCCSDELsFA0RwIgAAIZCsB87o1ZGODSONVSrJ+SGPDRl7mTRuVQl1P8+647nqW\n9i4gnY2o7iuRAldp/Cby36b67T01g2MgAAIgAAIgkHQCMJCSjhgdgAAIgEB2ELB+vowoTGhB\nZibGkjrWwzR1VsVr+8nPyXPk0USmGF89XK91dPTQCg6BAAiAAAiAQPIJxPiWSn7H6AEEQAAE\nQCCzCIiHRzw90Upcho3dTu5TTou9HsnrJZEbRwEBEAABEACBdBLAGqR00kffIAACIJBBBHyj\nRpGZBRqCuYyCQ5eQOd+w+AwbvbKSPEcdTdaVK7q1I6F3nuNnkl5cHGzWcO+mHfVk+/ADMu/a\nSf6SEvLMOoET6U4z3DgxIBAAARAAgYERgIE0MH64GgRAAARyhoDnxJPJ9tkS0mXtUWeonVpP\nxKFxrnO/ETcH1yWXsSFUQrZPF6iktLp4lk4+ldynnRF3G6k+0Vy7jvIe+4fqVuZuatxP5q1b\nyH3qTnKfM7vX4XQwsyb2kFVarWRhaXMUEAABEAAB4xKAgWTce4ORgQAIZAoBzuEjD8x6aRnp\nRUWZMuo+j1MvKqb2O75P9hefI3PdNhVup5dXkPOSS8k/clT87bG3SIwK99nnErmcRHZH7DxJ\n8beavDPZuHG88GyXURjsSAwl28cfqnVVelVVsLrbeyuvz/rNtnp698BBEqHzPDYmbx5cTdfz\nS4Oh1I0VdkAABEDAKARgIBnlTmAcIAACmUfA4yH7Ky+S9YvlgQd8fmD2Tp5CziuuInLkZd58\n4hixv7qaOu64M2DYeH1EkuOov0UMBCNx2ruXvNu2EtlsRIWdhm57O3uKtiqFvajTtFjIsnE9\neaIYSDp/Hr67YTOt4TaCWaDEk3Tfrj3k5mO3Dh0ctUlUggAIgAAIpJcADKT08kfvIAACGUxA\nvAqS5FQFTPEDrxTL+lrKe/xR6rj1jgyeWRxDF6+PPY7zMuAUjT2Ajn8+TrRlMznZ4LFxKJxp\n/HgeuYksG2oDnrJ+zGNpSyt93dZObEZ2K17+rPxj9166jr1I4lEycvHwWJ/ksb7ReIDa2Bs2\no7CQbmfDbpQjS26+keFjbCAAAmkjAAMpbejRMQiAQCYT0A4eIMuqLyNU3UTAQNamSD4f//AR\nmTzFnBm7rC0y7dgRmC8bR2LwWjZsUPvK+OWt4HvgpJB/+XzvuAkhFYc2a1myXNYb+TqN50NH\niMTwqHO6aGK+cT2Nfh7jd9dvopVs5Ml4pbzPoYLzm5royUnjaVyeccceyhrbIAACINBXAsb+\n6aqvs8H5IAACIJAiAiYOxyJzjN+Y2Ath2rsnRSNBNwMhYOK1VGLMav7ufh4xiKIZRQEzIdCj\nrpmUbHms9Uel/DnoqZT1cryna1Nx7P0DTbSCvWtB40j6FEpuv07/XddpUKZiIOgDBEAABFJM\noOe/3ikeDLoDARAAgUwhoOSofd7ow2Uvkqi0oRifgKmhgd1F/FXI68niLX6+t/7ycpb5PpG8\nR8SW+T6lpJh+K1ZWqFXFu2Z+HVaQT9U2a7xdpuW8xc0t5A0buwxE1lOtbG0j8TCZIDSRlnuD\nTkEABJJLAAZScvmidRAAgSwl4B88hPxDhpJpz272PgSX4Hc+C6t1JVGeLLOURdKm5exgwQRe\n65LEdTp6aSm7Rbp7j3qaj9g7bXf+gNUKe8/XVMKG1/8bM5ru2sQiD3wdm838rrHUt4V+P2ZU\nT90Y4piJBx3FvlNjk3oUEAABEMhWAjCQsvXOYl4gAAL9IyBrLXjtCDlYhKCXB/OOb99A+Q89\nQHSgkX9WDxhJ6oGS16Xk/eMhcn7zcvIefUz/xpHDV1mXfka2d94kE4d3qQSyRx5NrgsuDBhL\nCebiG11DOnuDaP/+bjLeQfM21BDQ+fOgzo/DA6GZfQAAQABJREFUOAoOcxZ7keYdPlnJfDd4\nvDSWP1dnlXEOqF4+W8Hr0/l+Mo/9tYbGCJEJ8YAdW1wI71Eab85Wp5Me3LmHvuL1YRLKeUlV\nOV1UUQ7p+DTeE3SdXQRgIGXX/cRsQAAE+kuADSPrJx+T/cMPSOPcPDo/dHiOm0mu2ecFQrCi\ntCt5j9ru+B4V/uY/1S/twVPUQzW353j1JWqdOtVYUtbBQRr03frpQrLPm9vllRPRC+sXn5Np\n317quO27iR81GyrtN95M+WzQivAGcY4mnQ1cP99bU0sziVR3IEROV2F1zquu6fMYJDns1dXR\n8yT1ubEUXnBKaQnJ65ODTRQMJrXwhzvPZKafjxyewpGgq1ACq1gd8do161WIo/g+691uWlfX\nTl+0tNGva0aGnoptEACBfhKAgdRPcLgMBEAguwjY3nmLbAvmkzyQS9H4Idm6ZBE/NB8k57Xf\njjlZ8/btfHKonyHkVH64lhw6vkmTQyqxGZMAs7e/Pa/LOAqep5QBWUzBvGE9+cZHV4wLntuf\nd0l223b3T6ho9y6ys9eqhdXZXMPYAGBPonX1V6SxoeQfNFjluBIDKpfKHzkU8LX9jfTG/gPU\nwvfn6KJCuoHlyW38mb93xy5awuuU8pnJueWlyoOBNUnJ/3T8y8YtvDZM77a0TdaKvclS7BdX\nltORfI9QQAAEBkYABtLA+OFqEACBbCDAiTxt8z/qFmIl05IHc8ua1WTauZP8Q4fGmCk/mcQy\nkFQ9H0eJi4BpfwNpscQS2NNj3lHffwNJDF/+pZ1iSVNLyNvESWTlPD86h9upc/PzyXPscXGN\nPRknifeqzsVj5jLSbktL+JQYPBdXVqhXcI573R66dG0tNXGi4KDC3QoWbfiYPU1/GVuT0NC7\nRv483LdzNy1salFe2lNLi+k2zsMk67tysRzgz/BGCQGOUsz8O80iNlhhIEWBgyoQ6COB3PwL\n00dIOB0EQCC7CZjZc6CMHAmnCi/8IGbewTmNYhhIvpGjOQQrynXSDter4+FtYj8qAd3RU14d\njfRYxk3U1jorea2G47VXyPLlSiXl7WcDyDX7fPIedXRPV6X92Gf8oPurrXW0l9ctSaliYYf/\nGD2SZhYXpX1s/1O/kw6yhzVU4U48GqJ69y7nSTq3vCwhY2zkuV+xdn23vl7kNVHzm5rpuckT\nqciSW948gSoiHyggAALJJ2DYPEh1dXX07LPP0rvvvkutra29kujr+b02iBNAAARyhoB68O7B\nyNHz8mOzYC+D68KLSOdf2oNmkrzLvtQTH0eJj4BIp/tGjGR2Ub6aWATDO/mw+BoKnsXX5D90\nPyf0DRhHUm3i7xPHS8+TddnS4FmGe69t76DvbtjcZRzJAPexsXAn161jb2e6yydsoIQaR8Hx\nSJ14kRJVHty1m40jX7e+xBATsYvH9nAeshwspSwNP55/KIhmJvmY/ywDGNA5eFsw5SwkEOVb\nKP2zfPLJJ+naa6+lNWvW0PPPP0+33347HTjAi2djlL6eH6MZVIMACOQoAZHsFiUzMWoiCq+v\n8I4fH1EdWiFiDh033ES+sePIX1Kq3mVf6lH6RqCDRRB0CXNjz50yNEU0ge+L88qrOLdU79La\nob1Z1q4h026WYZfwupAisuz2ea93KQ+GHDLE5sO79nQZ26EDEh4P7Uq/YeCL9WMCj88jg0xQ\n+ZTD6sQgCi8S1reAjbRcLf81roas/H8i1H8m2+ex5w7hdbn6qcC8E03AcCF24gl69NFH6a9/\n/StNnz6dvOzGv+222+i5555T7+EA+np++PXYBwEQAAEJr+u49nrKf+B+0j285oP/7qjkoYxG\n6snOkt+9FN+EidTBL5SBEVCCCff8lJXrlivjRi8qIs/0GaRXVPa5YROvWYpVNM6xpDU3kSgR\nGq2s4zUmAdH47iOTOvEupbscwyIAEk4XPkZ5aD8hgR4MM7cXq1h6OBbrmmypP5z5Pz9lAj3I\nhrTIfJfxjwkizjCHZb5RQAAEEkPAcAbS0qVLaSjH+otxJMXC//HPPfdceuaZZ6IaSH0538+/\nGjo5Hj20+PiXRS0L/9DKnLJxXqH3LpXbYJl42kZjqnPS17af/kJJSmsN+0hnT5D3yKPYa1ES\nNZwl8UT636LRWPZ/Jp1XskHqnXlCt2ZiPyp3O637jqxZivH3XfkleM1TLHax6rt3kJy9apYF\nr+8UZwjvocpmiTnm8HOTtf+TkcPoSpaZdvN3atA3J8bRuDwHXcgP6kF24e99Hc8ZnC/qyT37\nuoQggtdLX2eVlXb1E6zP9vdQnqP5s/3fY0Zn+5QxPxBIGwHDGUi7du2iYcOGdQMiBlNDQwPn\nYfRz3sbuUYF9OX/VqlV0xRVXdGv7t7/9LV1yySXd6rJhp7q6OhumYZg5DB482DBjyYaBVFUZ\nOCdMTU3GIcbnM/ot8592BrW/NS/yoCjiTZpMg2Pc64qKishrUlhzi1+n765YReGhbOJRuXX8\nOEr3/Za/hh9VVdNv162nRY2NKi/SxcOG0A/Gj1WS3+Go+jveX1RW0oKFi2kre0mCanliHE1i\nD8pdR0ylPA6/zMVSVmY8r2cu3gfMObsJGM5A2s3x4sVhceZFHGIhxlFTUxOF/2Hoy/nSzsyZ\n3dcElPO6A5fLlTV3WTxuZv7SyKY5pfPmyC92wlNCPVEGTiD4+XSzVK1KwDnwJnO6Bfl8ClNP\nLGnsnKbDk+fvEvO3byTfY/9QCWC7QidLSsjE9eF/J+X/uvBM9+dzNodK3cSJWB/ctp3snT8K\nuvg78Eau+wZLboePOx23eQgryP3v1LD8Xvx30hX2t9LK3rB4P59bWYDiGVbI28ohhuMKCujq\nYUNp7rFH0WN19fTO3gaWDyeazQl3rxsxjExR+koHh1T2Gfx8Ck95Jkp1sdvtqe4S/YFA2ggY\nzkCSP6bhD6PB/fwoalB9OX/s2LH02GOPdYMt4g+N/AtYthQxIOWP6EFObpmOP6DZwjE4D/l8\nFfKC8Z5EQoLn4r13AiX8YCr/j+XHjuD/696vwhmxCMj/9dLS0qz6GxZrrv2u59xG2o9+QtYv\nV5DGSWD9HErpmXFkQJo97G+//Igm/99bWlqUkdTvPhNw4W0cqnZWQb5KxCrNHc9re8ZyCJsR\nvq86+OH8hX0NtIhFFGxstZzJ4W7ns0BAeJJYMeDFGxfPmEV04S5OgCrXiDCDVWugB1nm/L7x\nY+jKkiL1CmJt578f6dfyC44mde8FbDTKD8jy+UyHkTxkyJDUTRY9gUCaCRjOQKpkl/pWzjwf\nWpqbm5XnKNqvF309P7RdbIMACIBARhNgT5zvk4/JvnGjUn7rr5hBRjOIY/A6h3S6zzw7jjON\ndYoYRPIyUmlh2e1r122gnfzZC4a9qfxHjQfpf1ldLdxIimfs7bwW+GebtwXWM3Wq1gXU8HS6\nZ/NWeueIw5RqWzxt4RwQAAEQSASB7gt6EtHiANuo4ZjwdevWdft1+euvv45YlxTspq/nB6/D\nOwiAAAhkMgHtQCM5/vDf5HvmKbIu/pRsH31ABX/6vUqImsnzytWx7+ewqcYMCJX8v527aEeI\ncST3S/IffcZejdf3x07H0dN9/byltcvYCj+vmQ2yr3kNEgoIgAAIpJKA4QykM888U83/qaee\nUiFimzdvpjfffFPlRQqCkWNiNEmJ5/zgdXgHARAAgWwh4Hj2adL4oVTW1YjCmybv/Ou747ln\nlHx1tsyzt3loLc1kf/5ZKvjPX6lXps1/ZWsbXbR6HZ25ag2dwa+LeXsV1xm1vH+Aw2M7vTyh\nYxQj6b0DB0Orum1LWJ5IlO91e7rVy047H4sltyAeKbkWBQRAAARSScBwBpKE0f3617+mV155\nRcl733XXXUplbtasWV1c/v73v9PKlSvVfjznd12IDRAAARDIAgJaawtZtm0lSXgaUXhNiOXr\n1RHV2VihtbZS/l//TNaVX5CJF/jLy8JrjaROGBm9bOpw0i3rN9G2EKGgrbx9E9dtCUtJYZS5\nBMPqoo1HhCTCi4ix3L9zN52ycjVduXY9nfPVGrqxdmM3Q+lwXmvlimJ0SVui5Dc5n+XaUUAA\nBEAghQQMtwZJ5j5jxgx69dVXac+ePSRywOHS3gsWLOiGqLfzu52MHRAAARDIdAL8YN1T0VgF\nLBeKhBVqHe3dDEVlNPL8bR+8T645Fxsaw4O7dpM/imEgdQ9zEtDf1Iwy3PglSezHB5u68h8F\nByjy27NKioO7Xe//y2uIHtm9t5vXSTxk32Ej6eXDJpKVVfqG8Q+jl1dV0EsN+1W4XvBi8Srd\nPGQQlbKyIAoIgAAIpJKAof/qDBo0qE8s+np+nxrHySAAAiBgEAI6pyfQbTbSeC1IROEF777h\nIyKqxatknf8hmVi5zV9eQe7TziDf5CkR52VShXl9LWk83/Ci+X0kx4xevm7riDA0ZMwyo9UG\nXXfzg+FDSEQZxFsUJG9h42gQK35ewUZOaPHwOfeygRQekifX7eH1Vh+yoXUOq99J+SlLdw+z\n2+jx3ftoP4eLSns3sXF0aVib6mT8AwIgAAJJJmBoAynJc0fzIAACOUpAYyPB9v67ZNmymXT+\n9dpz5FHkOeGkQK6cTGDC8t6uc88j+xuvdfOe8DIQJV9tWfEF+UZzwls2oqRYF8wn+5tvqGNq\nvRKHpuU98Si5LphDnlknqnMy8p+ePAs9HTPIZMt4jCJ4EK2UG3T8I/j/y7NTJtCfOV/RMhZX\nEM/R6aUldCcnis3nz2VoESPIGSXsLnCOTpucrq7TRd772kHV6tVViQ0QAAEQSBMBGEhpAo9u\nQQAE0kPAtHcv5d/7l4C4QefDm+mdt8hSu446vnMLcUxvegbWx149s04gjX9xt7/8ErscAomM\nxfiRYl21kjSXk5zX3aBy/9jfmqcEHAJHWdBBNjiMyz7vdfJM55xAUXLMBc818rt32nQy7d0T\n4UXS+UHde8Q0Iw9dje2bVeW0bls7haehFjPjEgN7TsRI+p+xbID3UsQAlP9NkSuT+L8Zfwor\nrXgE6QUhDoMACKSJQGY8CaQJDroFARDIPgL2114m4l+2QwUOJEzLvGULWVavyqgJ+2vGdBlH\noQOX+VjWfE3avr1k3rqlR6PPXLct9NKM2naz108Sv4pBFCyy7R88hNwnnxqsMuz7nIpyOo9f\n8kUsnhgbv2R7DieJvYDrM70U8L04Z1AVSQhetHImJzlGAQEQAAEjEsDPN0a8KxgTCIBAcgiw\n18TMqQNEDjuiyLoV9iJ5j5geccioFabdu/nJ2qoMvogxcr15z27SJVQr2nyDFyTDY8YGGoUY\nLcGuEv7Oc2y/7btkXfYZK/cFUj94p0wh7/iJZH/9NTYOOYQyL5+8Rx9DnqOPZddZ9Af1hI8r\nzgYlrOzfR4+gi9kgknU9MrpZJUV0eEFBnC0Y/7Q/HjaZrmhZpiS+zZ38Zd5/HjuayuFBMv4N\nxAhBIEcJwEDK0RuPaYNAzhKQp9Ao9lGAh7EeoHu7R3oRq4aJMRKtcL2fj/tF7CaWYcDGkW/U\n6GhX972O5aklZM/6xXLOyeRhIYhycp13IXkPm9r3tvpyBRuAnpknqJdcZmKjsOBvf+4WQmne\nXkfmDRvIefW3+tJyys6dVlhA8srGUsJG7JOTxtMSXq+0nvMglbFRdCqr3RUbdI1VNt4DzAkE\nQKDvBMSbjwICIAACuUGADQXf2HGkRzMYxFiYPDmjOPhHjiSqqIiYj8xP5/Al/wg+7sgj5yWX\nqnOC81bH+RznpZcT8XqSARdey5X/0N/JunyZMo6kPVHLc/zzcbLweqhUFvvLL0SGUPL4JHwy\nE5TtUskqVX2Jx2hmcRF9e3A1Xcihg+HGUR2LNfy+bgfdvH4j/efW7bSW81mhgAAIgEA6CcBA\nSid99A0CIJByAs45lyijQA8JLVOL+idMZG/H4Skfz4A65DlYv38X6YVFvA7HosLp1Dvvd1x/\nU9faI++RR6tQNO/Uw8nH63O8U4+g9tu/R95pMwbUffBiy9o1ZNq1M0IsQUIZ7XNfDZ6W/HeW\nhzZv2xY9hJK9hpYMkP5OPiRj9bCUQwsvXVNLL+5roM9b2mju/ka6Zu0GenP/AWMNNMZoPm1q\nVolvz/rya7pu3Qb68EBTjDNRDQIgkEkEEGKXSXcLYwUBEBgwAb2yktruuockyah580aW+XaQ\nV2S+j5sZOxRtwL0mrwGNDZ62n/ycLGu/7sxxVE7eyYcF1iaFdOvnUDpnosLpQtqVTZMIPcRY\n52RiSXGtpZlUOGDYdQnfjTGGQD9sIen+hHeJBvtPQPIj/WzLNvKE3LdgwOh/bNuu1mMZOUns\ny/v202/q6rtU+hrYQL+H8z6J5Pn17C1DAQEQyFwCMJAy995h5CAAAv0koJeUkOsi9iRlS+F1\nHmkVl2AjU8mjR8l5I8u9JKltSgpz8HOSXNOO+kgvEod5iXgDinEIrOM1SU3eoEkUOS7Js3RW\nmTGV7tp4jd/vt+/oMo6CoxcT/N4du1iFsIwq+POIAgIgkJkEEGKXmfcNowYBEAABwxCQ0L1o\nYhESxihrvkgMqBQVWW8lCnrdQihNnBdp4iTyTTLGGjOttUWJSYjcfC4XSSIbSxZF6mMnmU0/\nta/a2iOMo+CoRNb8i9a24C7eQQAEMpAAPEgZeNMwZBAAARAwEgF/dTW5LpgTWG/ERpHkmFJr\noViu2nnZlSkdqn/oMGr7wd1kf/9dXo+0Rcl8e0Tmm5Xu4il6RzuZWSK84MsVnOHUT94Jk8h9\n1tkJCRHUmpvJ8exTZNm8SQ1F1r65Tz9TvWIqDcYz6Aw9Z0p+Hon0ty8kxC44FTfXzTCwsl9Q\nsjw43tB38ZrGyv0Ueh62QQAEjEsABpJx7w1GBgIgAAIZQ8Az60Tyja4h64ovSGtrJd+wEZx7\n6JjEqOT1kYJeVUXOq67p41V8OkuVt//ht2TmBLuSbFeK9fNlnGNpNbX/4EekF7Osen8Lt5f/\n4H2ksbpfsEgftg/fV2vfxFDKtZLPBuIPeb3On+p3dvPGWNh9dEVVJQ1PhMJikqBOLchXiX1l\nHVV4kZojDWzchY8X+yAAApEEYCBFMkENCIAACIBAPwiI98bFr4wtH39EesO+LuNI5qFxAmFi\nr5Lt3bfJJbLo/SxiZGkHDijvWmgTASPpA3KffCq7HXLvK/mqQVVUabPSAzv30A63iyp53c51\nXHcZG0hGLnnsKZUkvz/bzAIlXGTtUTBc8Bcjh1FJDt5LBQL/gECWEMi9v8ZZcuMwDRAAARAA\ngQQT+OpLlWA2vFUJGbTUriNX+IE+7EsC21hFEutqTQdJrzC2URBr/AOtFyEGo4ox9DQ3GfOQ\nSTZ6Ys9e2sK5nEayx+ua6ko6sqiwp8twDARAIAMIwEDKgJuEIYIACGQ4AZb/NW+vUw/fvmHD\nifLzM2dCHAZmZuPA1Lif9DKWEGexg2zydNRzWN1ut0c93BaxVyBmMQX9AzHP6PGAXlQUU0Ze\nKf0V4KG6R4AGPSihdn8YM9qgo8OwQAAE+ksABlJ/yeE6EAABEIiDgJmTk+Y98xSvb3EGHpB5\nzYLrnNnkOeW0OK5O7ykaG0X5Dz1AWjMnvxTjQcQXCgup/abbSNb5ZHJpZAW5ezg8StTGZEG9\nrCU5f8ax9Lu67eTwdPcVqUTCU6YOaLqi9Gd/4/WINlTbYnQ6Uqf0FzEIVIAACIAACHQj0MPP\nZd3Oww4IgAAIgEAfCWj79lHeY4+oNSwSpiXrTeTd/s5bZGExA0MXNhhk7NpBXjcj42aDQr2z\nElv+ow8rY8nQ4+9hcDrP7Y4Nm2lVpxRzcKH9OyYL/fyk01iBz9x1tWzrxZw366xzuuri3nB2\nkHXJIjaM5pJl5UpyXn4l6bzGRuf1KerFbfsHDSbnpVfE3SROBAEQAAEQSD4BeJCSzxg9gAAI\n5CgB26KFPHO9a/F2EIMYSbYP3yPvjCODVYZ7N+3YQSZRc2NjIrSofTaazNu2kq9mTOihjNle\nzobRxg4nhaco9fBcX6+ooh+fdyENWslqfD4veSdNIfdJp/TZw2PavYvyH7ifyOMO5IgSo4u9\ncB3XXEemlmZW+msj3+Ah5JvAyWt7Cu3LGKoYKAiAAAhkDwEYSNlzLzETEAABgxEw7dsToVoW\nHKKJFc2MXFRYnTzU8/qpiML1ktMnU8s2XlBvjZF/R8Lttsw4iopnxZc3KSoDNoDzHmfPIXuQ\nugxM5iimpuP5Z6jt5//K+uHWqJeiEgRAAARAIP0EEGKX/nuAEYAACGQpAT97I/QY3gEJ2zJy\n8VcPim4cyaA53M4/iI9naBnEstLh3qPgVCTcbrDdFtzt17tp5w4OTTx4yDjqbEVkHjQWhTBv\n3tivdnERCIAACIBAagjAQEoNZ/QCAiCQgwQ8M2dxhF33EDXBIEaT2+AiDXplJXmnHNZtPY4a\nO3uPfOMnkJ/DwzK1HMcyzOW8Dij8C1C8R8eXl9GoTRvJPvcVfr2qFPz6Ok+tvT122Bzfe62N\nj6OAAAiAAAgYlkD494NhB4qBgQAIgECmERAjwnn1twIL8828MF8W6PNDuKxp8Rx3vOGn47zy\nahL1NTHxZNzyLmtyOr51neHH3tMArWyk3Dd+DFXz/RCjyMEvkWWYlOegxxfPJwuLUFgXL+LX\npypUzvH0k1EN3Vh9+Iew8cjCFlELh9r5h2VwMt2ok0IlCIAACGQXAaxByq77idmAAAgYjID3\n8GnUOn4ih1VtUkpwvlGjSS8tTcooJbTL1NBAfm7fP2JkzLw7cXdus5Pzqm+RdsFFpB1o5DxI\nZSzzzfl8sqCMYWNo7tRJ9FlLK+2VPEgOO51au4a0r1d3V+hjD6Bl9VdkXbaUPMceF9fM9aJi\n8sw8gaxLlyjlv+BFAbnww5RyXbAO7yAAAiAAAsYjAAPJePcEIwIBEMg2ApzjxsfhakkrrIiW\n9+SjrCy3LZDEVbwUvEao4/qbEmKMSe4jeSW6aK2tZN64ng1HVosbXZPy3EriSTqxpLhrWhp7\njaJ5fkR10LI8fgNJGnRdMId0Tghs++RjZRiLrLd4DV2zz+/qDxsgAAIgAALGJAADyZj3BaMC\nARAAgbgJ5HEImJkTnCrFNBZQkGLau5fyHnmI2n94d+z1MHH3kPgTLcuXkePlF9nLxZHerF5g\nZ6POc/xMcl148cA9X/0dbkfstUFaR0ffWpV1Zpw7yX3GWUrSW4wl4vVbKCAAAiAAAsYngDVI\nxr9HGCEIgAAIxCSg79lN5k0bWU68+5oX8XqYGvaReeuWmNem64Cpfjs5Xnw+kHjWywloJQkt\nh7JZlyxWa3/SNS4aMy6qMSmiGr7RY/o3LL5WL+KwRBhH/eOHq0AABEAgDQRgIKUBOroEARAA\ngUQR0HnNUcyHb34ol7VDRitiCEVT9xMjyfbe2+kb7nkc/iZiGizaECxqm8Pj3KedHqzCOwiA\nAAiAQJYTQIhdlt9gTA8EQCC7CWhVVVHXzahZs5KaXl5hOAAm9nodMkG6D0+FsrmcHHPn6H4g\njj0J2xPjy9TSQj5WipPwNv/QPijGce6nvF/9O7U99ABRHa/n4uIbOYpcl1zKAhXlcYwAp4AA\nCIAACGQDARhI2XAXMQcQAIGcJaDxQ71v3HhWydvcLcxOwsL81dUcGlZjPDYsWiGS4bGMJHN9\nPfnGcrhbH4r9lZdYae4zZuBXV2lNB8mydg113Hiz4hNvU2Y2iDy8bsstuYyksPcIBQRAAARA\nILcIIMQut+43ZgsCIJCFBDquvpZ8NawCx3MTtTQJC5McTGIcUEi4mFGm7pncg6Ifj1fyRfWl\nmHbUByS1O40juVYJVvC+44Xn+tLUoXPFMDKSccRKheb1tWTatjW2x/DQ6LEFAiAAAiAwAAL4\naWwA8HApCIAACBiCACukddx8G0noWiAPUlnik5GK6MPePWq6fvZaEXuo+lu802cQzZsb8aCv\nDLy8fB778D41bdmwPrAOi5XwQot4qMSTFMjhlLkhcrZ33ybbRx8EmPM6LT2/gDqu/Tb5OacW\nCgiAAAiAQOIJwEBKPFO0CAIgAAJpIeAfNDgpSUjNHKomnhitvU3NS3IiOS+/inwTJvZvnmzQ\nOS+/khzPPq2uF2+PhASKt8t59bdii07E6q03L1lvx2O1a4B66+JPyfbxhwGPGK8pU6W1hfIf\nfoDafvwz0ktKDDBKDAEEQAAEsotA/38CzC4OmA0IgAAIgEAUAqbtdZT3xKNkYuNIeWT4HBMn\neM177B9k2rkjyhXxVXmnzaD2O39InmOOIy+vN/IcP4va7rqnT+uFgj15x7OhFjQegpX8Lh4p\nP4sr6KVlIbWZtWn78P2udVW78/Joe0FhYALs0ZM1VyggAAIgAAKJJwAPUuKZokUQAAEQyBoC\ntg/eiz4XkeTmsC/nNddFPx5HrSjMiULcQIt/6FDynHAiWRd92mVMKHluTkIrnqqMLRLWyIp8\nX7OBd/exJ9LGklI1lUpnB/3X8iV0SmfIY8bODwMHARAAAYMSgIFk0BuDYYEACICAEQiYd+8K\nhHeFDUbC4ky7dobVpm/Xdf4c8o0YpWS+tZZm8g8fzrmLzkhKyGHKZslhhzvKK+nKU84kJ+dn\nCpYGRx7dMfMUeqS5kaYFK/EOAiAAAiCQMAKH/uImrEk0BAIgAALpI2Dau5fUA3JVNenFxekb\nSJb07Oc1LqaDByNmowQVOj0aEQfTVOGdNp3klU3l4ZNOJQ97wkKT18r8/Lyu6i+DhtKj2TRZ\nzAUEQAAEDEIABpJBbgSGAQIgMDACGj/E5z35GInkM5nNak2K58ijAyFcRpJrHtg0k3a1GJXE\nKnDhCVE9s04ic11dpBeJH9A9s05M6HjMGzeQectmIpuNvJOncB4nVsvL8fJVWQV52zpzMoWy\nYP4bPd1V+0IPYxsEQAAEQKD/BGAg9Z8drgQBEDAKAV6gn//Q35Wcs0o+2rlg3/rlCmUsub55\nmVFGarhxmHbuJMdzT5OZJcKl+IuKyHnJZeRjA0WKeGTcHEpnm//RobxAbEi5Tz+TvIdNVecM\n+B++Xw4WglBy3aI4xy/b22+S65zZ5Dn19AE3n8kNVNmspLF4oHjswksJDP9wJAPeX9/eQQ/u\n2kO1/F5ptdBlVZX0jYrMFfkYMBA0AAI5SgAGUo7eeEwbBLKJgLl2HWkHD3Qt0A/OTeMHb+vn\nS8n1jfOJWAEMpTsBramJ8v9+L5HH03VARAFEtU7yKvnGjFX17nO/QZ6jjiHLpg1q3zt+AukV\nlV3XDHRDhCAs7D3SWJQgtNjZSPKPHNU1jtBjubJ9SWUFvX+gKWK6FrYjL6+uiKhHRf8JLGtp\npdvXbwqoH3Iz9W43fdVWR6vZg/eTkcP63zCuBAEQyDgCMJAy7pZhwCAAAuEETA37Akk0Oz1H\n3Y6LmEDj/j4nH+3WRpbu2BZ+okIRRXChW+F92ztvUcft3+uq1quqyMOvZBTr0s9IjNmIwp4k\ny/Jl6TWQmIX10wVkWzCfNJY395eVkfvMs8k7/ciI4UatYKNPO3CAdDHQOf9TX8vxxUV0x9DB\ndN/O3WRjHnKnvDym00tL6FvVybkffR1jtpz/r1vqKPxTKPvP7mugOZXlNDEfP7Jky73GPECg\nNwIwkHojhOMgAAKGJ6CXsvxx+EN+yKiRTDMERsim5DiKZphImKKo16WqaCxbHa0opbzmlmiH\nUlZnf/VllW8o6N0yNzSQ4/lnycWeNs9Jp/Q4DutnS8j+5hukuZzKsPHVjCHnFVdzXqaAXHeP\nF4ccvGnIIDqjrIQWNDWT26/T0UWFNL2wIOQMbA6UwA6Xi/aEeFJD2xPDdAl/DmEghVLBNghk\nNwEkis3u+4vZgUBOEPBOmkK63RGxTkNnsQZZ7K8XFuUEh75OUlT+wnxHXU3o/fB2dF3cxw0R\nY4g2Drl/vhEj+tha4k7X2DNpXbokIvRPjCUJ/yM2fGIVC4d22l97WRlHco4yOrdtpfz7u4c0\nxro+vL7G4aDrBlWTGEswjsLpYB8EQAAEEksABlJieaI1EACBdBBg1bOO79xCOgsMyEO1brUq\nWWTf8BGcKPSqdIwoI/r0HHOcEkQIH6ww9Bw3M7w6afuu2edFjEPJWvN99Mw6IWn99taweevW\nQ8IU4Sezx9K8Y0d4bde+/a03oxpWWlsrWVcs7zoPG8YgMMxup8H8eYtW3HyvZ3KoIwoIgEDu\nEECIXe7ca8wUBLKagH/oUGr76S9JpKJNLFntY6+Ef9TorJ7zQCfnY7EFWU9je//dgDS6NMhr\ngcTr5j751IE2H/f1Mg7nt75N9ldf4nsXCKmT+6nC0dLp/WPDO2boJj8063I8WunoIBMbQlEL\nKwCadqUufDHqGFAZlcCva0bSbSEiDXISJwygK6sraQLWH0VlhkoQyFYCMJCy9c5iXiCQiwRY\n9tg3aXLEQutcRBHvnN1nnEXeqYeTed1a0vjhXZTrZK1MqotIhnunHEZaEyeltbAHsLAw1UOI\n6M87bnxEnVRIOKBeUEj+oTGUzdhwEi9ctPVdkqPLCHOLOrEcr5S1Xc9MmUAPscz3WpH55s+h\nKAXOLofMd45/NDD9HCQAAykHbzqmDAIgAAKhBPyDBpO80l5Epa2082FUVO3YmEhr4XVYzsuv\nJMczT6kQQFl7JIaP5GlyXnNtQDkx2gD5HM+0GSR5uCKMJG5DjqEYk8B4Vhv8w5jRxhwcRgUC\nIJAyAjCQUoYaHYEACIAACPRIwO0i+7w3yPrF5yo3k15RwTmsLkhcQtoeO49+0HvEdGrncE1R\npBO5eB8bkp6Zs0gvK49+QWeta85FZN63l0w76gPrq9ioIjaOxODSKxOXQ6rHQeAgCIAACIBA\nvwjAQOoXNlwEAiAAAiCQUAK8pif/oQfItHNHl9dF27+fHP98nJxXXUNiqKSr+AcPIdeci/vW\nPasqtt9xJ5lr15K5vl7lQfIednifJb771inOBgEQAAEQSAQBGEiJoIg2QAAEQAAEBkTAvHYN\ne1vYOPJLas5DRXIh2ee+St7Dp0Uo3R06y6Bb7DXysQS9vFBAAARAAAQyhwBkvjPnXmGkIAAC\nIJC1BMx129gAij49U2sraaxMiAICIAACIAACqSAAAykVlNEHCIAACIBAzwQ4EaqIH0QrSjXO\nZo92CHUgAAIgAAIgkHACCLFLOFI0CAIgAAIg0FcCHpb5tr3zVsRluslEvtE1RGJApaB413xN\n1mefJtuunaTnF5Dn+JmBnFA8DhQQAAEQAIHcIIC/+LlxnzFLEAABEEgNAVZq0yTZq8h096Ho\nVdXkumBOIMdQpzGimy0q35Aov6WkfLmSnH/4HWnbtpLmdpPp4AGyvfcOOZ5+MiXdoxMQAAEQ\nAAFjEIAHyRj3AaMAARDIBAL80G9Z8QVZ1q9TOXoksal36hExQ8MyYUoJGyMbRrYP3yfb/I9I\n83hUviDPsceT67wLOPFrfF81nlknkm9UDVlXLCetrZV8w0aQ55hjiFgRLumFxSBI8h3pbOCF\ndCZ5jCxff03mrVsCnqyQY9gEARAAARDITgLxfWtl59wxKxAAARCInwA/9Oc/eL+SoQ56Ryzs\ncfBO+oKc3/p27KSh8feQ0Wfa571O1iWLDkl0s2FhXbqEtOZmcl7LfOIs/mHDyMWvVBftQCNR\nLCEIs4nMmzcZzkDys1FnirFuK9X80B8IgAAIZBMBhNhl093EXEAABJJGwPbRB105esTDoF7s\nNbGsW0vW5cuS1m8mNKyxypx10cIu4yg45oD3ZTWZdu8KVhn33WLtcWx6nF6wHhtJ0MGlzS10\n2ZpaOuqLVTRzxSr6963bqYUNUhQQAAEQAIHEEIAHKTEc0QoIgECWE7CuXBFhAMiUNTGS+Jjn\nmOOynEDs6SkDSNYNRXtIt1o4v1E9SbLVuAt7RiwsliBJVmVRkm/iRJIkq7FU7uJut4cT9eJi\noiFDicSYk3C70MLzMkouo8VsHH1vw2byd47P6ddpXmMjrWlvp6cmTyBrFI/S8pZW+tP2nbS+\no4Py+D6dW15Kdw0fSgVmc+gssQ0CIAACINBJAB4kfBRAAARAIB4CvGg/VtGczliHcqJez8sn\nYkMxauF6UYOLu/D5jiceJcdTT3CI3mdkXfYZiyT8kxyPPhzdAIu74ThOvP5GIpYT1zsNBzGT\ndDY43GefS/7q6jgaSP4pv6/b0WUcBXvz8kC3Ol30TuOBYFXXu3ibblm/idaxcSR3qI35zt1/\ngG6s3UjecEOw6ypsgAAIgEBuE4CBlNv3H7MHARCIk4BvzBgSyenwIg/T3nHjw6tzat8/dCjp\nZeXKmAiduPLD2GzkGzsutLrHbetni1kEo1Z55rqFMm7aSNbFi3q8dsAHh4+g/N/9kXwnnULe\nmjHknTaDOr5zC7lPO2PATSeiAScbN9tcrqhNedjYWdnaFnHsd9sjDSo5d4syqA5GnI8KEAAB\nEAABXlYMCCAAAiAAAr0TcJ09m5XrWHY6JIRJDCbdkUeek0/tvYFsPoOZdFx3Pel5eSRrdYSR\nWrNjtXH9DeyVscU9e+vyz6OHMnKYm/WL5K/1MpWXk+/Ci6jj1jvIedU15DOQ8Svhc7GC4qQ+\nPGTOxQaVGELRihhJK3jtGAoIgAAIgEAkAaxBimSCGhAAARCIIKBXVlL7nT8g+9xXybxls1oP\n4504mVwXcu6egj6EkEW0nB0Vssao7Se/IOvKL8jU0ED+0jLyTp9BemFh3ybYQ7hirocymtlA\nOrm0mBYcbCZvGFUJnzurrLRbrYXPl19BowU/RjOoul2MHRAAARDIYQIwkHL45mPqIAACfSPg\nrx5EHTfd2reLculsh4M8x88a0Ix9Y8aSqXG/CrELbUi8dd6asaFVObn9y5HD6dr2DdTg8ZJ4\ngcQAklDGm4cMoqkFvBYspCiDqqSYFrLUuqxTCi1iNJ1eWhJahW0QAAEQAIFOAjCQ8FEAARAA\nARAwDAH36WeQ9csVpLMohsYGgBQV1sihe+4zzjLMONM1kAqrlV46bBK91tBIX/KaoxKLmc5h\nVboZMTx1vxg1nK5bu4H2e7sbVDcMrqZphfB8pus+ol8QAAFjE4CBZOz7g9GBAAiAQE4R0Dk0\nr+17PyDHKy9zKOMmNXff6BpyXfxN0nl9EAopqe4rqytJXr2VKmVQTaSX2aBawQZVKYuKnFtR\nRscU9TH0sbeOcBwEQAAEsogADKQsupmYCgiAAAhkAwG9qpo6brntkHR4FPXAbJhnquaQz0bR\ntwZVqVeq+kQ/IAACIJDJBGAgZfLdw9hBAARAgAloLc1k/WwJmXbtYrntMk5aeyz5Bw3OfDZ9\nNIy0poNkf2semVkmnGTN0pSp5D5nNkQ0Mv+TgBmAAAiAQEoJwEBKKW50BgIgAAKJJeDftpUK\n/vg7lURVYylsETOwfrqAnFdew3l8pie2MwO3pjU1UcFf/ofI5ewSeLAuX0aW2nXU9sO7OS4t\nz8Cjx9BAAARAAASMRAB5kIx0NzAWEAABEOgLARYx8N7/f0QiaMDGkRSNc9+IuIHj+WdIa4tM\nHNqX5jPpXNt773QzjhQLZqK1tpBtwfxMmgrGCgIgAAIgkGYCMJDSfAPQPQiAAAj0l4C2ZzfR\n/gbSojUgSUXZe5IrxbKhtstzFDpnMRwttWtDq7ANAiAAAiAAAj0SgIHUIx4cBAEQAAHjEtDY\ncyRrbaIWNpA0tyvqoaysNMeOGNd7OJaVLDApEAABEACBARGI8c06oDZxMQiAAAiAQAoI+AcP\niW0gcd4b36jRKRiFMbrwHDGNdFZrCy9Sl0trscLnj30QAAEQAIG+E4CB1HdmuAIEQAAEjEHA\nZiPTNy9TwgyhA1JGwfQZ5B8yNLQ6q7fdp51B/sqqbkaScPCNGEGe42Zm9dwxORAAARAAgcQS\niB2TkNh+0BoIgAAIgEASCFjOPJvadCI7ixRoBxqVpLVn1okkBkNOFbud2jnBrHXJIrKsXcOe\nNfYcTZ3KkufHEbGhlPGFhTeIwyaTVbSWFrJ8uZJMLJXur64mjygg2uzJ6g7tggAIgIChCcBA\nMvTtweBAAARAoHcC3iOPInnlfLFayXPSKeqVDSy0hn3keO0VMm/aqKbjGzuOnHMuJp09ZYks\n5o0bKO/xR4jECPP52aA0ke2dt6n9tjsS3lcix422QAAEQCBZBBBilyyyaBcEQAAEspSAddlS\nyv/zn6jgP35FefffS+YN67N0pumblnbwIBX87S8kxouSbmf5dtmWOjmWsMJ5o/KefIzI4yGN\n161pOsvEy3tbK9c/nrBu0BAIgAAIZBIBGEiZdLcwVhAAARBIMwH7G6+R/ZUXycwS46aOdjJz\notq8Rx4iy4ov0jyy7Ore9sF7AaNFvDqdRfJbiSGjjgUrB/huqa0NJBkOa0f6MvE91vbtDTuC\nXRAAARDIfgIwkLL/HmOGIAACIJAQAtq+fWT9dGG3fEOyKkYlpn31JSL2PKAkhoB586ZunIOt\nijdJjiWqaO2cTDjW2iaWkNfa2xPVFdoBARAAgYwhAAMpY24VBgoCIAAC6SVgkQdzS4ylq5yT\nybR7V3oHaMTe2eND/TEyWHQiZunpWMyLoh/wDR0W27BlL5J/0KDoF6IWBEAABLKYQIxvuiye\nMaYGAiAAAiDQLwI6L96PWST8i5XjjFK01hZWtFtM5vrt5C8pIc/Rx5J/xMiUDU9rbibHS8+T\neX2t8rD5i0vIdeFFrKx3eFxj8Bx5dCDEzefrdr5Il8uxRBX/yFHkGzdeeaW0kL6kHzcLXpAj\nL1FdoR0QAAEQyBgCPXzbZcwcMFAQAAEQAIEUEPCNnxjV2yCrZPTCIvIPHpyCUfTehXiyCv70\ne7J99AFZ1q0l61IWlbjvb2Rd9GnvFyfiDPam5d/3v0q8Qq0b4jZNzU3keOoJMq/5Oq4ePDNn\nkW/MWJXjSvHlq3QOeZM6OZbI0nHt9cro0jsNXJ3za7nPOIvc58xOZDdoCwRAAAQyhgA8SBlz\nqzBQEAABEEgeAa21lbTG/aSXlpLO3o5oRWdPjOv8OWR//TU+rJOsP5KHdl7EQs4rr2YrwBi/\nuTmeeYrI5VKeG5mHKLNJsb/+KnknTSK9vELtJ+sf6/JlpLUwT14vFFrUWq035lLblMNCq6Nv\nswen44abyLJ6FZlr1/Ec2DblsXunHpF4zmwQuTjhsIslxGXNkV5YmPg+os8StSAAAiBgSAIw\nkAx5WzAoEAABEEgRAfZ2OF5+gSwrVwQW63OonHfiJDZ4riHKiwyv8pxwovIUSUJWEyem9Q0e\nSp6TT1XJRVM04h670ZqalMJe1JPMFpVE1nPCSVEPJ6rSVL+dNF90wQoTG6FKzCLWWq7QQbDB\n6T1iunqFVidtm8ekFxcnrXk0DAIgAAKZQgAGUqbcKYwTBEAABJJAwPHCs2ThsC/xBqlEofxm\n4Xw7kji047bvRu1REpbKy5CFDb7Yhb1eIpqQ7FJQqDxr4R4k6VYXwyge4yjZY0T7IAACIAAC\nMQkYIx4i5vBwAARAAARAIFkENPYAWb5axd6O7kIAsi/5jUzb65LVddLa1SsqSI/i+VId8rx8\no0Ynre9gw55p04nCwuvkmBJYmD4jeBreQQAEQAAEDEoABpJBbwyGBQIgAALJJmDivEbEYWdR\nC3s5TJmYJJTD0py8lkYPy+0jxol30mTy1YyJOt1EVvqHDSfXeRfwKq2AUSRjkf791YPUGq5E\n9oW2QAAEQAAEEk8gxjdj4jtCiyAAAiAAAsYioNabxFgrQz5/TLEGY80icjTe6UdSh91B9rfn\nsZG3j/T8fPIce7xSZos8Ozk1HpbI9o2fwCILX5HmdJJv5MjkCCwkZ/hoFQRAAARymgAMpJy+\n/Zg8CIBALhPwDx5Cfk4UKrLYoetllMeDF+unwtuSDP4iOGH7+EMysWCDf9Bgcp92et+EDtra\n1Los4vVKvtE1pFdW9muYwtfNLxQQAAEQAIHMIgADKbPuF0YLAiAAAjEJmDesJ/OmDaxGx/ly\nWIlOHu57Kx3X3UD5Dz9AxOuRlEw3r53RWWSg48abOfzOOIlfe5tH8Ljtww/I9t47XdLe5l07\nSWS/XQcOkOeU04KnxXz3LP6UbA89KMrlAVU/r5c8x89SSV4pLGwvZiM4AAIgAAIgkNEEYCBl\n9O3D4EEABECACbBR43j6yYDXQ4DIgzx7UDzHHEeuSy7tEZHkPWr70T2c1LSWTA37yV9WRr4J\nnBA2A5XWtNYWNo7e7sp/FJy45B+yv/MWeY4+lqigIFgd+b59O7keuD/ieutni8lfVUWeWSdG\nXoMaEAABEACBrCMAkYasu6WYEAiAQK4RsC76lI2jNSpMTkLlRIVOjALr50sD+Y16A8LCBr6J\nk0lyHPkkiWkGGkcyRfO2bbG9XjxH83Y+3lNZOD9gXIadI0xtC/gYCgiAAAiAQE4QyHkPko0z\niBdnUWI8Ez8ESKnsZ8x8Tnzq+zhJYVpdXd3Hq3B6NAJaZ4hSeXl5tMOo6wcB+XzmrficdH93\nqW5pSh7sC75cQfazz+lHy5l3iW93OcXKgiQGY2lFJZl7+L/samxkZ5w/6sRNra34OxCVTPTK\nRs5H1S5y8Rymib+f0Rn1tTb497OkpKSvl+J8EACBPhLIeQPJzX/Em5ub+4jNuKeXcXiMw+Gg\nhoaGmF/0xh298UZmtVqpsLCQDvD6BZSBE5Av9nxWFGvkB1Evr+1AGRgBefgs5RA5X3MLxQoH\n8PBnt2nv3oF1lClXl5VTIRvhWpTxSoLW/SWlRD2wKBJBhdp1RPxgH1583PbeHq4NPz9d+042\n8Ja1tFKL10eTC/Kohr8PUlnqnC76l6119FVbu+q2jP+G3jN8CM0uL0vlMLKyrwIOD5UfdJtY\nfMTlcqV8jkOGQHAk5dDRYdoI5LyBlDby6BgEQAAEEkTAN2IEaWs5xI69JKFFZ+9SKhKjhvaZ\nsG0JEeS1P9aln5HW1kq+4SPIfdY5JMpwMQtLezsvu0KJMrD/jHmw4IR41bkt52VXEnHEQI/l\nlFOJPvlY5S8KNbJE1c995lk9XmqEg8vZMPrRpq3UwUaSyGu4eN5nl5XSr2tGkrXTe5vMcYpR\ndn3tBmri92A5wEqA/7Kljhx8H04rhecjyAXvIAACxiYAA8nY9wejAwEQAIFeCbjPPpcs69ax\nHcBrjzrPVolSOQms+9TTer3eiCc4nn+GLF+u7JIf19jTb1m7ljpuua1HdT7vEdOpnUPprJ8u\nZNGJfSyuUM1rq05iOfOhvU+zsory7vkZtd/7V9I5pE6JXbBh4R1dQ/a33iT7G3PJO34iCW/d\nYGFO+9kQ+d7GzeT0B4xkT+dsPzzYRIN27KK7hscx/94J9XjGSyzy0cb5s8KDFGX/L/W7YCD1\nSA8HQQAEjEQABpKR7gbGAgIgAAL9ICBelfZbbyfHS8+TuTMMTAwC56VXkM6hYZlWzFu3KHGJ\nUI+YbIsB6HjxOWr78c96nJJ/2HByXc4eo34U86TJ5P63X5OXx6C1t5N97itkke3OsDvriuVk\nXbOa2n5wN4kCoFHKvMYD1GkbdRuSh7k9t7eBvj9sCJmT7EVaw7zc3F+0UschYTofC66jiXYO\n6kAABEDAKARgIBnlTmAcIAACIDAAAv5Ro6n9Rz8h4odUlc8oxWtPBjD0iEsln5OaQ9haIPGO\naby+UuS89cKiiOsSVsHhYH4O6bNyuJ2J13AFjSNpX4QvdH7Yt789j5xXXpOwLgfa0C6Xh8QY\nilYk1K6FWZYmWZ2w0mJVoX2HAuwOjabQbIJxdAgHtkAABAxOINa6XoMPG8MDARAAARCISoBF\nMFipJeqhjKnszdPBiXBTUSzr1nYzjoJ9ipFkXl8b3DXE+wiHLeY6o3w2+IpTkPT3/IqyiPA6\ngSPrn+ZUZJ4n0xA3FoMAARBIC4HUfMukZWroFARAAARAIBMJeCVRLRsh4UX8I75Bg0nvKdlr\n+EUD2TeJ1EGMIuIPBirns0qc3RSp4Gdh4+T6QVVk6s3oTMBcphTk009HDFXr4OzcnxhG0v90\nrr+TQ/xQQAAEQCBTCCDELlPuFMYJAiAAAjlCwD9yFHmOPZ6sy1jBrtNQUmp0bJSISl2qinfq\nVDJv2RThRdLZcPJOmZq0YZi215GpcT/5S9kjwyyUWEQvvRVz+NxDE8bRDzdtob1uj1pv5OXQ\nuiuqKug7Qwb1cnXiDl9RXUUzWYr6Y5aibmfBhpOGDqHDlC5g4vpASyAAAiCQbAIwkJJNGO2D\nAAiAAAj0mYDr4m+Sr6YmIPPNinK+ESPJfdoZpKcwCbbnmOOUWISZDZbgOiSdQ9X0oiJynTO7\nz3Pq7QKN55n3+D/IVF9PJOuFeN2QqPB13HgTq+b1LggxMT+P5k2dTGvaO9Saowl5DqrgPESp\nLiMddrrOUa3WHFVUVKi8fKkeA/oDARAAgYEQgIE0EHq4FgRAAARAIGkEvNOPJHmlrbAx1HHz\nbWRdspgsq75kI8lL3omTyH3SybzOKy/hw3I8+RiZduwI5LNi2W4ppn17Ke+Rh6n9h3d38ySt\nbG1j6eydVNvRQYXs0ZpTWU63sKfIxl62qRzShgICIAACINB/AjCQ+s8OV4IACIBAThMw7dlN\nlq9WkcYP6eLh8R5+BFG4GAB7QUy7dqo1Rf6hwwKekUyixvPxnHCieiVz2MLSvG1rVx6rYF8S\nYihGkhzzja5R1UuaW+i7GzarwDVZl+X0e+mJPftoFRtND0wYC7W4IDy8gwAIgEA/CcBA6ic4\nXAYCIAAChiTABonG61coLy+pUtjWRZ+qHEHKIOKHeCt7LvwffUDOOZeQqflgoG+PmxwvPKcM\nKMWKw72cF19K3hlp9AoZ8qaxc4jlxFVYndcbOUI20tTxTgPpN3X1EWpxIvG9oq2NPmlqplNK\nSyLbQA0IgAAIgEDcBGAgxY0KJ4IACICAsQlYFy4g+ztvktYZnuXlB2rJ1ZPohKam3buUcSR5\niWSdjCriKWIvSP6D97GuM697kXo2nNQ5gTOI3GwwPf8MdfAaHt+48cFavDMBP6/VoWjGkdDh\nenWcN5t4u97lltqIImmQvmAvEgykCDSoAAEQAIE+ETCWTmmfho6TQQAEQAAEggSsSxaR/c3X\nu4wjqTfXbaP8++8l6jSYgucO9N3y5crIUDpuVCVylXfuL6g+F9EXP8XbPngvojrXK3QWY/CN\nHUciAhFaRL3PP2Qo+TmEUYqNZbNjFZHytvP5KCAAAiAAAgMjgL+kA+OHq0EABEAg/QTY6LC/\n81aEUSJGitbWStaVKxI6Rq29/ZDnqIeWoz3KS52sqUGJJNBxzXVqnZGsK9JZxU5ng8c/bDh1\n3HATW50BmnlsQB1ZWEDRvrxF1vuUkuLIhlEDAiAAAiDQJwIIsesTLpwMAiAAAsYjIAaLCCVE\nLRL6xiFxiSz+4cOJPuevD1Z160+JR7K6P+1m/DX5+Uo1z7R3D2n795NexnmQBkcmWP23USPo\nunUbqJ0NYFl7JKaTvK4fXE2HQcEu4z8GmAAIgED6CcBASv89wAhAAARAYEAEdLudJBQralgb\nexwkb08ii2fGUWT76AOigwej99lDZzJOJZPdwzm5fshfzYld5RWjSJ6hV6ZOomdZue7LtnYq\nY2/ThSzzPbM4sfc5RveoBgEQAIGsJwADKetvMSYIAiCQ9QT4Adk7bQbn6lnZldC0a87iZThi\netduQja4v/Y77iT7Sy+QZd1albdH7xRmCDXSJFRMFT5fhYixwID7lNPSm9soOKYMfxej6PZh\nkd6lDJ8Whg8CIAAChiAAA8kQtwGDAAEQAIGBEXBedDHlN+zjRKP1vMinc4UKh18pFbvy8oE1\nHuVqvbCInN++MSAAISIQbCCJpLcYaUqumkP7/Cw84PzmZWTa36AU7XxjxpJezmptKCAAAiAA\nAiBgYAIwkAx8czA0EAABEIibgN2hvDrm9bVk3rGD9Pw88k6ZSnpxkhfti+dIXlycV3+LtNnf\nIFlDoxcWkybJSycAAC1ESURBVH/oUOU58o8arY7jHxAAARAAARDIBAIwkDLhLmGMIAACIBAP\nAVY6802cpF7xnJ6Mc/SycvLxCwUEQAAEQAAEMpVANKXQTJ0Lxg0CIAACIAACIAACIAACIAAC\nAyIAA2lA+HAxCIAACIAACIAACIAACIBANhFAiF023U3MBQRAAAQMSsDE66JsH7xH5l07yc/r\nojwzT2A1uxkGHS2GBQIgAAIgkMsEYCDl8t3H3EEABEAgBQREOCLvsX8QSVJTfpkONJJ5ex25\nd2wn93kXpmAE6AIEQAAEQAAE4ieAELv4WeFMEAABEACBvhJgg8jxwrNK5luMo2CRfEm2hQvI\ntGd3sArvIAACIAACIGAIAjCQDHEbMAgQAAEQyE4CWkMDmVpaSIs2PU52at6wPtoR1IEACIAA\nCIBA2gjAQEobenQMAiAAAjlOQDmUoppOOQ4G0wcBEAABEEgnARhI6aSPvkEABEAgywnolZVK\nlOFQcF3IhH1e8k2YEFKBTRAAARAAARBIPwEYSOm/BxgBCIAACGQvAU5e67zsSiKTiXTeDhZd\nM5H75FPJXz0oWIV3EAABEAABEDAEAajYGeI2YBAgAAIgkL0EfOMnUPv3fki2j94n084dpBeX\nsMz3LPIeMT17J42ZgQAIgAAIZCwBGEgZe+swcBAAARDIHAL+oUPJec11mTNgjBQEQAAEQCBn\nCcBAytlbj4mDAAiAQJoItLeTZSOr13k85BtdQ3pFZZoGgm5BAARAAARAIJIADKRIJqgBARAA\nARBIEgHLyi/I8eLzgdZlTZLXS55ZJ5DrgouS1CM3y33Y5n9E1i8+J3K6yDdqFLnPmU3+QYOT\n1ydaBgEQAAEQyFgCMJAy9tZh4CAAAiCQWQRk/ZHjuWcoNGGszMC6eBH5K6qUoZTwGXFC2rxH\nHiLztq2k+XyqeW3tWrKsr6X22+8k/7BhCe8SDYIACIAACGQ2AajYZfb9w+hBAARAIGMIWJcs\nJgpRsgsOXGMjxrZgfnA3oe+W1V+Reesh40ga13Q/ERtLjldfSmhfaAwEQAAEQCA7CMCDlB33\nEbMAARAAgfgIuN1k+Xo1mRr3s9emgrxTphLZbPFdO8CzTI0NJMZQtKK1NEerHnCdeeMGIn/A\ncxTamHixTNvrlKFEZnPoIUNu17Z30B+376BVbe1kZSPzjNIS+tGIoVRqwde4IW8YBgUCIJDR\nBPCXNaNvHwYPAiAAAvETMO3ZTXkP/Z00p5NIMrfyEiDd8Tp13HxrStbj+AcNIX3Llq5Qt9CR\n+8srQncTt835l5TXig2iiCLerCgerYjz0lwhxtG16zaQl+cgs/Dw+1sHDtCK1jZ6fsoEyssA\nAy/NCNE9CIAACPSJAELs+oQLJ4MACIBAhhKQtTiP/YO0tjbSWLRA8/FL3ttaVT3F8OwkcrZu\nFmOQEm6qSAJZ95lnJbKrrra8k6dENYIkUa1v3HiVwLbrZINu/L/6nV3GUXCIXoa4h1UAX2zY\nH6zCOwiAAAiAQIIIwEBKEEg0AwIgAAJGJmCu20ZaU1OEQIKEmkm9CjdL8gREzrvjxptJLygk\nMYp09u7o7P1wnX9h0pLG+iZO4ranqb6C05M+yWEn50XfDFYZ+n0Ve4rCjUoZsHiSlja3Gnrs\nGBwIgAAIZCIBhNhl4l3DmEEABECgjwS01hb2lrBhEM1TxIaKqaWFoq8O6mNHvZzuGzuO2n7x\nrySKdprkQRo2nMhu7+WqgR12XnE1WSZMIuuK5aRxDibfmLHkPvlU0ouKBtZwiq628/1xdSrw\nhXdZYMbvnOFMsA8CIAACAyUAA2mgBHE9CIAACGQAAR+v/yGvJ/pIOdTONziFOYHYg+MfMTL6\nWJJRy94q75FHqdf/b+/Oo6Qq7gWO/3qZnhmGZWbYd0HCLgY3EBdEkYghij5xCQ+JLxjx+DTm\nn6hPPVk8WYh4NDmEyJNIiBsgioE8RNAEQWMEFRIB4wLiwiLiMMDILL3cd39Fuu2e7p7pnu4Z\nuvt+64T0vXW3qk9dG35961a1xulb+5wXV3SSP31RZXezi72SDi0xqaIiNpM1BBBAAIGMBfjp\nKWNCToAAAgjkvoDVtasERp5iurRFl1a7mwVGjhKrS9fobJZzSOD7vXtJH/spm45ep0n/X4Oj\nyZUVcqEdPJEQQAABBLIrwBOk7HpyNgQQQCBnBbSrWfGfVkjRm5vNu0j6HpDffrJSf9kVOVvm\nnC6Y/eTN+/Y/xb1/n1jt25v3qKxO2Q9YOng9smTYYHnuYJVsOlojJW6XTKwolwn2UN8kBBBA\nAIHsCxAgZd+UMyKAAAK5KVBUJPVXXS3137pM3PbADCH9x3xxSauU1VVTY94zsuwnH6E+fe1H\nHvrMo3CS68hhaffwb80AF2IPliD2e0LFa1ZL7fTrJTh8RNYrqu8hXdOti/mT9ZNzQgQQQACB\nGAECpBgOVhBAAAEHCNhBUahb6wRGGiz47EDBt2H98SG07XWrrExqZ3xHQv36FwxuyVNPiqu6\n+quJb/89+EXpk4/Jl3fcnTcDQBRMg1ARBBBAIIsCvIOURUxOhQACCDhdoOiVDeLb+LLpwuey\nR15z2YGDyx4hr93CBeazEHz06Zjnw51fBUcxlXKJd8e2mBxWEEAAAQTyS4AnSPnVXpQWAQQQ\nyGkB319figscdFAByw6Uit7YJA0TLsrp8qdSOB0q/PhwCYn2tueVsifjjU6uzw/YQeOG4+8q\nVVaKf+w4CZ40IHoXlhFAAAEEckiAACmHGoOiIIAAAnktYA9a4LaDh0TJpds+/zzRprzLC9lB\njmW/z6XzOMUlOxAM9uodyfZ88L6UPrrQXrcDJ3ub9cnH4v3HVqm3J6n1jxkb2Y8FBBBAAIHc\nEaCLXe60BSVBAAEE8lvA6xWrJPG7TTqcuAYWBZHsetZPnCSWPXBCdDJ17NlLgoOHHM+2A6KS\nJU/Yk/Me72qomS77nSz9U/ynZ+0uh0eiD2cZAQQQQCBHBGK/3XOkUBQDAQQQQCA/BRrOPT9+\nrqV/V8V/xln5WakEpfaPnyD1l04RHaVPkw6ZHrBHrzs266bjg1PYee59+0x3u4Td8eyA0fP+\ne+ZY/g8BBBBAILcE6GKXW+1BaRBAAIG8Fmi4cKI99HW1FG3eJGJ3QxP7KYp+6vDXVnl5Xtet\nceH9djDoH3euGXzCKi0V8flidwkGYtcbrekgFiQEEEAAgdwTIEDKvTahRAgggED+Ctjdzur/\n42ppuOBC8XzyielyFxx4cnzwkL81jC25Xd9kk8OG7O52YnfHk0TvKtnvZAUGDIw9F2sIIIAA\nAjkhQBe7nGgGCoEAAggUloDVuYsEvj5agkOHFW5w1FyT2U/O6i6/wnS/s6eSjSR9d8l/zrli\ndekayWMBAQQQQCB3BHiClDttQUkQQAABBNpCwH6i49631366UyShHj0i7wy1xqUD9ntXte07\nSPGLa8V98HMJdewo/nPHi/+sMa1xOc6JAAIIIJAFAQKkLCByCgQQQACB/BAoev01KV61UuTf\n7wdZHTpI3bdntOq8RPoU7Zg+SSMhgAACCOSFAF3s8qKZKCQCCCCAQKYC3m3/lOLn7OG1A/7I\ncNuuI0ekdOECcVVVZXp6jkcAAQQQKBABAqQCaUiqgQACCCDQtIBv3VoTGEXvZYbgDlni+9sr\n0dksI4AAAgg4WIAAycGNT9URQAABJwm4vziYsLoueyJX9377nSQSAggggAACtgABErcBAggg\ngIAjBCx7sIREyXK5JVTROdEm8hBAAAEEHChAgOTARqfKCCCAgBMFGs47X3SI7fhkiX/M2fHZ\n5CCAAAIIOFIg0d8UjoSg0ggggAAChS3gH3eu+M8cc3xeInuOIsse5tvyeKTuqqsl1KdPYVee\n2iGAAAIIpCzAMN8pU7EjAggggEBeC7hcUn/Ff9iTtJ4nnt27TIAUHDxYknW9a6u6uj/9VLzb\n/ymuhgYJ9j9JAiNHtercTG1VL66DAAII5KsAAVK+thzlRgABBBCIFwgGxbtjmz3own6xytpL\n4JRRonMdRadQt26if3Ih+da9IL6X1onYT7IkFJKiv78moQ3r5dj3bhbxFedCESkDAggg4DgB\nAiTHNTkVRgABBApTwHX0qJT+73xxh+c0sp8YFa9eJbUzZkpwSPYmavV88L54PtotVkmJBIaN\nEKuyskWgnl07xfeXF8UMNW4HdibZn+59+6T4+dVSf/kVLTovByGAAAIIZCbAO0iZ+XE0Aggg\ngECOCJQsfVLcX3whLjvIMH8CAXtS2ICUPrZYXDVHMy+l3y+ljzwspY8+Ir6/vmSCmLL7fyFF\nm19v0bm9W99KeJyWvWjLmwm3kYkAAggg0PoCBEitb8wVEEAAAQRaW+DLL0Wf7LjsbmqJknf7\ntkTZaeUVr1ltv7v0obmGBl6ugN9MPFv87HL7qU/68yi57DK7LCtxGerrE+eTiwACCCDQ6gIE\nSK1OzAUQQAABBFpbwHXMDjaSXcSOQVw1Ncm2ppxftHmTeTIVd4Ddla/orfSf+OiADJYnvqe7\nhkyhHj3jLkMGAggggEDbCBAgtY0zV0EAAQQQaEUBq6LSjEqX+BKWBHv2Srwp1Vx9MtWQ+KmO\nPrVyHTmS6pki+/nPGitWu3bxczPpaHtTLovsxwICCCCAQNsKxP901bbX52oIIIAAAghkLuD1\nSsNFE0VHhYvuZqcTw4a6dpPg4CHiW/8XKXr9NXEdOybB7j2k4RuTJXjyoNSubZ9HgzDXoaq4\n/S372sHevePym82wB3k49t+3SckzT4vn/fdMd7tQZWepm3pl6uVq9iLsgAACCCCQrgABUrpi\n7I8AAgggkJMCDRMuMpPAFtvDZrvsARW0q1pgyFB7IthrRAdw8O7YHuki5/n4IylduEDq/nOm\nBEaMTKk+9ZO/KSVPPR7z3pBlP+2xiovNBLQpnaTRTlancqn9rxvtggaO/7GDJhICCCCAwIkV\nIEA6sf5cHQEEEEAgiwL+Cy4U/3njxVVdbc+DVCZiBxw6sIJ329sxgY15X8keIKF4xXIJDB9h\nv6SU9A2mSOkCo06VOn+DlKxaKa66WpMf6t1Haq+dLlJaGtmvRQv2UyjRPyQEEEAAgRMuwLfx\nCW8CCoAAAgggkFUBe9JVq3PnyCk9u3Ydn4hVn9I0Sm578AbtNmfZXdtSSYHTz5Sa0aeLS+da\nsp8cNZ6ENpVzsA8CCCCAQG4LECDldvtQOgQQQACBDAUsr6fpM6T75EbfR+rSpelzshUBBBBA\nIG8FGMUub5uOgiOAAAIIpCIQHDpcxJ58tXHS94eC3bqL1bFT402sI4AAAgg4WIAAycGNT9UR\nQAABJwiEunWThkmXmAEcwtOy6qdO0qoj2nm3vuUEBuqIAAIIIJCiAAFSilDshgACCCCQvwI6\nwl3td79nPy3qaEa3Cw/J4K45KiXLltjDf/89fytHyRFAAAEEsirAO0hZ5eRkCCCAAAJtLmB3\nn9MAR58EuRoaJDjoa9JwwQSx2neILYr9rpHr6FEJB0fhjTpvUvH/rRSZcGE4i08EEEAAAQcL\nECA5uPGpOgIIIJD3AnZwU7ro9+L5cGdkjiP35wfEu+VNOXbrD8QqL49U0W3PfST2CHdmzqFI\n7r8X7MBKPtsv0on3kRrTsI4AAgg4TYAudk5rceqLAAIIFJCA959bxbPrg0hwpFVz2U+UXLW1\nUvznP8XWtNiehDXJfEfmqZJuJyGAAAIIOF6AAMnxtwAACCCAQP4KeHdsF7GfIjVO2m3O++6/\nYrIDw4YlH82uew+RqLmTYg5kBQEEEEDAUQIESI5qbiqLAAIIFJhAKDwuXYJ62aPURScdzrvu\nqquPj2anXe3sZHnsnuYlJVI3fUb0riwjgAACCDhYgHeQHNz4VB0BBBDId4HA0KHifcd+itRo\nniPL5TaDNTSuX+C0M+RY7z7iffMNcR+ullDPXtJw1liRdu0a78o6AggggIBDBQiQHNrwVBsB\nBBAoBIHA6NMluOl18ez5NPIekuW2O0cUFUndlMsTVjFkd6druHRKwm1kIoAAAgggQIDEPYAA\nAgggkL8Cdle52htni2/D+uPDfPv9Ehg4SBouniRWRWX+1ouSI4AAAgicMAECpBNGz4URQAAB\nBLIiYD8tarjoYvMnK+fjJAgggAACjhZgkAZHNz+VRwABBBBAAAEEEEAAgWgBAqRoDZYRQAAB\nBBBAAAEEEEDA0QIESI5ufiqPAAIIIIAAAggggAAC0QIESNEaLCOAAAIIIIAAAggggICjBQiQ\nHN38VB4BBBBAAAEEEEAAAQSiBQiQojVYRgABBBBAAAEEEEAAAUcLECA5uvmpPAIIIIAAAggg\ngAACCEQL5GyA9PHHH8uSJUtk7dq1UlNTE13mpMvBYFAWL14sR44cSboPGxBAAAEEEEAAAQQQ\nQACBZAI5GSA99thjMmPGDNmxY4csW7ZMbr75Zjl06FCyOkTy58+fLwsXLkw5oIocyAICCCCA\nAAIIIIAAAgggYAt4c01BnxwtWrRIfv3rX8vXv/51CQQCMnv2bFm6dKn5TFTezz77TObOnStv\nvfVWos3kIYAAAggggAACCCCAAAIpCeTcE6RNmzZJr169THCkNfB6vXLJJZfIunXrklbol7/8\npViWJXPmzEm6DxsQQAABBBBAAAEEEEAAgeYEcu4J0r59+6R3794x5daA6eDBgxIKhcTtjo/p\n7rzzTunevbt89NFHMcc1Xtm9e7c8+OCDMdnTpk2T008/PSYvn1eKiopM8Tt27JjP1ciZsuv9\npkF6eXl5zpQpnwsSvj87dOhgftTI57rkQtldLhf3ZxYbQv9b19S+fXvz900WT+3IU+n96fF4\n+P7MUuuH78+ysjIpLS3N0lk5DQIIJBLIuQBp//790vgf9/qPKQ2ODh8+LBUVFXH10OAolVRd\nXS1r1qyJ2XX8+PEF+UXDl2dMM2e8gmfGhDEnKCkpiVlnJTMB7s/M/BofXVxc3DiL9QwEuD8z\nwEtwKPdnAhSyEMiywAkNkP785z/HDKgwdepU0V+Y9b2j6BReb9euXXR22svDhw+X9evXxx2n\n7zAVSurUqZPoPz4///xzfgHNQqPq/aj3nQbnpMwF9McP/ceSPhHWUSdJmQnor/NqmsogNpld\nyRlH65Mj/XW+qqpK/H6/MyrdirXUJ0j6o6Z6kjIX0L+L9Adj/bG3vr4+8xOmeYZUf4xO87Ts\njkBOCpzQAOnFF1+UAwcORGD0XaMuXbqIdoWLTjpst37JZvqric/nk549e0af2vzDoq6uLiav\nEFb0iZv+IWUmEDYMf2Z2No7WdwU16Semmd8P+g9QTVhmbqln4P7MjmP4LNyfYYnsfIbvT/3v\nnf/ms2PKWRBIJnBCA6SHHnoorlwDBgww3eD0qVG4v+327dvj3kuKO5AMBBBAAAEEEEAAAQQQ\nQCBDgfgRDzI8YaaHT5w40ZziiSeeML+Q7Nq1S1avXm3mRQqfW7dp0ERCAAEEEEAAAQQQQAAB\nBLIpkHMBknaju++++2TFihVmeO8f/OAHcuWVV8q4ceMi9X744Ydl69atkXUWEEAAAQQQQAAB\nBBBAAIFsCJzQLnbJKjB69Gh57rnnRAdP6Nq1a9zQ3hs3bkx4aP/+/SXZtoQHkIkAAggggAAC\nCCCAAAIIRAnkZIAULh8jpoQl+EQAAQQQQAABBBBAAIG2EMi5LnZtUWmugQACCCCAAAIIIIAA\nAggkEiBASqRCHgIIIIAAAggggAACCDhSgADJkc1OpRFAAAEEEEAAAQQQQCCRAAFSIhXyEEAA\nAQQQQAABBBBAwJECBEiObHYqjQACCCCAAAIIIIAAAokECJASqZCHAAIIIIAAAggggAACjhQg\nQHJks1NpBBBAAAEEEEAAAQQQSCRAgJRIhTwEEEAAAQQQQAABBBBwpAABkiObnUojgAACCCCA\nAAIIIIBAIgECpEQq5CGAAAIIIIAAAggggIAjBQiQHNnsVBoBBBBAAAEEEEAAAQQSCRAgJVIh\nDwEEEEAAAQQQQAABBBwpQIDkyGan0ggggAACCCCAAAIIIJBIgAApkQp5CCCAAAIIIIAAAggg\n4EgBAiRHNjuVRgABBBBAAAEEEEAAgUQCBEiJVMhDAAEEEEAAAQQQQAABRwp4HVlrKo0AAggg\n0CoCnt0finfLW+KqqZFgv37iHzNWpKS0Va7FSRFAAAEEEGgNAQKk1lDlnAgggIADBXx/fUl8\nL6wRcdn/syzxvvuO+DZukGO33CpWRaUDRagyAggggEA+CtDFLh9bjTIjgAACOSbg3rfXDo6e\nt2MjywRHWjxXICCuY19KyfJlOVZaioMAAggggEByAQKk5DZsQQABBBBIUcC7fZuIJ75TgisU\nEs/OD0Qa6lM8E7shgAACCCBwYgUIkE6sP1dHAAEECkLAVW8HQFYoYV3sHnfi8gcSbiMTAQQQ\nQACBXBMgQMq1FqE8CCCAQB4KBE8aYEdBGgrFp1CncrHKyuI3kIMAAggggEAOChAg5WCjUCQE\nEEAg3wQCw4ZLsHcfsTyeSNEte8myg6a6qVdG8lhAAAEEEEAg1wUIkHK9hSgfAgggkA8CbrfU\nzrrJHtb7bLFKSkxgFOrRQ2pvmCVBO3giIYAAAgggkC8C8W/U5kvJKScCCCCAQG4J+HxSf9lU\n8ye3CkZpEEAAAQQQSF2AJ0ipW7EnAggggAACCCCAAAIIFLgAAVKBNzDVQwABBBBAAAEEEEAA\ngdQFCJBSt2JPBBBAAAEEEEAAAQQQKHABAqQCb2CqhwACCCCAAAIIIIAAAqkLECClbsWeCCCA\nAAIIIIAAAgggUOACBEgF3sBUDwEEEEAAAQQQQAABBFIXIEBK3Yo9EUAAAQQQQAABBBBAoMAF\nCJAKvIGpHgIIIIAAAggggAACCKQuQICUuhV7IoAAAggggAACCCCAQIELECAVeANTPQQQQOCE\nCViWSF2tiH6SEEAAAQQQyBMBb56Uk2IigAACCOSLQCgkvvV/Ed/LfxVXfb1YPp80nHOeNEyc\nJOLx5EstKCcCCCCAgEMFeILk0Ian2ggggEBrCRT/3yrxvbTOBEd6DVdDg/g2rJfiZ55urUty\nXgQQQAABBLImQICUNUpOhAACCCDgOnpEil7dKK5gMAZD14veekNcBw/G5LOCAAIIIIBArgkQ\nIOVai1AeBBBAII8F3Hv3iHiT9N4uKhLPnk/yuHYUHQEEEEDACQIESE5oZeqIAAIItJGAVVIq\nYr+DlDDZ+VZpu4SbyEQAAQQQQCBXBAiQcqUlKAcCCCBQAAKhvv3Eat9eGo9bZ9Z9xRIcMLAA\nakkVEEAAAQQKWYAAqZBbl7ohgAACbS3gdkvt9TeIFBeLZXe108BIP8XuXlc7Y6b5bOsicT0E\nEEAAAQTSEUjSUTydU7AvAggggAACXwmE+vSVL3/4P+K1B2Vw24MyWJWV4j/tdLE6dPxqJ5YQ\nQAABBBDIUQECpBxtGIqFAAII5LOAVVYm/vPG53MVKDsCCCCAgEMF6GLn0Ian2ggggAACCCCA\nAAIIIBAvQIAUb0IOAggggAACCCCAAAIIOFSAAMmhDU+1EUAAAQQQQAABBBBAIF6AACnehBwE\nEEAAAQQQQAABBBBwqAABkkMbnmojgAACCCCAAAIIIIBAvAABUrwJOQgggAACCCCAAAIIIOBQ\nAQIkhzY81UYAAQQQQAABBBBAAIF4AQKkeBNyEEAAAQQQQAABBBBAwKECBEgObXiqjQACCCCA\nAAIIIIAAAvECBEjxJuQggAACCCCAAAIIIICAQwUIkBza8FQbAQQQQAABBBBAAAEE4gUIkOJN\nyEEAAQQQQAABBBBAAAGHChAgObThqTYCCCCAAAIIIIAAAgjECxAgxZuQgwACCCCAAAIIIIAA\nAg4VIEByaMNTbQQQQAABBBBAAAEEEIgXIECKNyEHAQQQQAABBBBAAAEEHCpAgOTQhqfaCCCA\nAAIIIIAAAgggEC9AgBRvQg4CCCCAAAIIIIAAAgg4VIAAyaENT7URQAABBBBAAAEEEEAgXoAA\nKd6EHAQQQAABBBBAAAEEEHCoAAGSQxueaiOAAAIIIIAAAggggEC8AAFSvAk5CCCAAAIIIIAA\nAggg4FABAiSHNjzVRgABBBBAAAEEEEAAgXgBAqR4E3IQQAABBBBAAAEEEEDAoQIESA5teKqN\nAAIIIIAAAggggAAC8QIESPEm5CCAAAIIIIAAAggggIBDBQiQHNrwVBsBBBBAAAEEEEAAAQTi\nBQiQ4k3IQQABBBBAAAEEEEAAAYcKECA5tOGpNgIIIIAAAggggAACCMQLECDFm5CDAAIIIIAA\nAggggAACDhVwWXZyaN0Lstr33nuvvPrqq7J8+XKprKwsyDpSqfwVmDt3rqxevVoWLVok/fv3\nz9+KUPKCFHjkkUfkqaeekoceekhGjRpVkHWkUvkrsHTpUlmwYIH89Kc/lXPPPTd/K0LJEcgD\nAZ4g5UEjpVPEqqoq2bNnj4RCoXQOY18E2kTg0KFD5v70+/1tcj0ugkA6AocPHzb3Z319fTqH\nsS8CbSJw9OhRc3/W1ta2yfW4CAJOFiBAcnLrU3cEEEAAAQQQQAABBBCIESBAiuFgBQEEEEAA\nAQQQQAABBJws4HVy5Qux7tpvXrvXFRcXF2L1qFOeCwwbNkwuvPBCKSsry/OaUPxCFBg0aJC5\nP8vLywuxetQpzwX0vU39/uzatWue14TiI5D7AgzSkPttRAkRQAABBBBAAAEEEECgjQToYtdG\n0FwGAQQQQAABBBBAAAEEcl+AACn324gSIoAAAggggAACCCCAQBsJ8A5SG0G3xmWCwaBs3bpV\nduzYIUOHDpUzzzwz5cu88cYbUl1dLRMnTkz5GHZEIB2Bltyfe/fulY0bN4rH45Fx48ZJr169\n0rkk+yLQrIAOlaxzxennmDFjpF+/fk0e05L7uMkTshGBJgTSvT/1neO3337b/Fuge/fuMmHC\nBN5BbsKXTQikKuD5sZ1S3Zn9ckdA/9KePXu2rFq1SioqKuTxxx+X/fv3y9lnn91sIT/77DO5\n7bbb5Msvv5SLL7642f3ZAYF0BVpyf+okx7/97W+lffv2snnzZjOZ7ODBg6Vv377pXp79EUgo\n8OGHH8p1110n+/btk7q6Opk3b57oPdanT5+E+7fkPk54IjIRSEEg3fvz4MGDMn36dHnttdek\nXbt28uyzz5qJuCdNmkSQlII3uyDQlABPkJrSyeFty5Ytk5qaGtGZtXVEsI8++khmzJgh3/zm\nN2XIkCFJS66/Nt13333icrmS7sMGBDIVSPf+fPfdd2XDhg3y9NNPS7du3czlf/KTn8hvfvOb\nlIL+TMvL8c4Q+MUvfiGXXXaZfP/73zffgYsXL5YHH3xQlixZkvA7Md372BmK1LK1BNK9P5cv\nX26ess+fP98USSeQvfLKK82/C2688cbWKibnRcARAryDlKfN/Morr5inP+HhknX4z5EjR8q6\ndeuarNFTTz1l/iGgQ4WSEGgtgXTvz0OHDsl3v/vdSHCk5Ro9erR5KmpZVmsVk/M6SOCLL76Q\nd955Ry6//PJIMDRlyhTRbp3aTTlRSvc+TnQO8hBIRaAl96c+Nbr++usjpy8tLTXd7fWeJiGA\nQGYCBEiZ+Z2wo7WLSOP3M3T9wIEDScukv9JrgHT33XdH/oGQdGc2IJCBQLr359ixY2P+otdL\nv/TSS6LzJvG0M4OG4NCIgHZB1hT9vdm5c2fx+XxJvzfTvY8jF2MBgTQFWnJ/anCk353hVFVV\nJVu2bJHhw4eHs/hEAIEWChAgtRDuRB4WCARE+x537Ngxphi6rl+QiVJ9fb3pWnfLLbdIjx49\nEu1CHgJZEWjJ/dn4wtp19B//+IfpCtV4G+sItERAgx2dQLvxJNodOnQQfYLZOGXjPm58TtYR\nSCaQ7v3Z+DwNDQ2ir5Rrb5KpU6c23sw6AgikKcA7SGmCtfXuGvCsXbs2cll9P0NHqXG73aJ/\ngUcnXQ93uYvO12V9+V2/OCdPntx4E+sItFggW/dndAEeffRReeKJJ+RnP/tZk+/TRR/DMgLN\nCRQVFcV9Z+oxOhCDdlVqnHQkxXS/Zxufg3UEUhVI9/6MPu+RI0fkrrvuEv3Ud+r0XCQEEMhM\ngAApM79WP/rw4cOycuXKyHV0OG99f6iystIMUxvZYC/ol2Oip0M6at2KFSvklFNOkTvuuMMc\nsnPnTtFfnHRdv1jLy8ujT8UyAikJZOP+DF9IBxB54IEH5MUXX5S5c+ead5DC2/hEIFOBLl26\nmGDo2LFjMQGRfm/27Nkz7vTatTOd79m4E5CBQBoC6d6f4VNrb5Lbb7/d/DiqozJ26tQpvIlP\nBBDIQIAAKQO8tjh0wIAB8uSTT8ZdauDAgbJ9+3Yzal14o75ofNVVV4VXI5/64uasWbMi67qg\nv/zrMN/aV5lfm2JoWElDIBv3Z/hyOrqidqv73e9+J3p/kxDIpoAO5e31es33ZnjOOB20QQPz\n6PeSoq+Zzvds9HEsI5CuQEvuT/3x89Zbb5WTTz7ZdK9r3H003TKwPwIIfCXAO0hfWeTVkgZC\n+ku7BkU6ytczzzxjnghdeumlph467Ld2U9JJ5/TdpJkzZ8b80aHAdX4ZzU/WLS+vQChsTgk0\nd39qYfX+1CBf0/PPP2/u5+985zvmntVAKfxHu0CREMhUQH9Z1/lhFi1aZKZI0HmQFi5cKJdc\ncol07drVnF6Hmtd7MZxSuY/D+/KJQCYCqdyf0X+v67X0ibt+P06bNk3+9a9/Rb4zdT4lEgII\nZCbAE6TM/E7Y0TpyzbXXXis66II+Aerdu7fcc889ZpJNLdSuXbvk4YcfNu8r6UvIJATaUqC5\n+1PLovenTnY8YsQI0fk8NN1///3mM/r/XnjhhZguUdHbWEYgHQG933R+rW9961tmsIZTTz3V\n/AIfPof+6KRDJIff1UzlPg4fyycCmQo0d39G/72uP37qBLGadF6v6DRmzBjTTTk6j2UEEEhP\nwGU/fWCSkfTMcmpvfY9I+9Br/2USArkmwP2Zay1CeVRAvzN1EIZUn55zH3PftKVAuvdnW5aN\nayHgFAECJKe0NPVEAAEEEEAAAQQQQACBZgV4B6lZInZAAAEEEEAAAQQQQAABpwgQIDmlpakn\nAggggAACCCCAAAIINCtAgNQsETsggAACCCCAAAIIIICAUwQIkJzS0tQTAQQQQAABBBBAAAEE\nmhUgQGqWiB0QQAABBBBAAAEEEEDAKQLMg+SUlqaeCCCQFYFAICB79uwx5yovLxed4DFZ+vjj\nj81Ezp07d47MUVZVVWUmw40+pn379lJRUSFud/O/WR08eNBMCKnzn40aNUq0DKmknTt3mglR\ndeJoEgIIIIAAAggkF2j+b+Pkx7IFAQQQcJyAzmZ/0kknmT833HBD0vrv2LFD+vfvb/ZbtmxZ\nZL977703cnz4PDqPmQY8p512mjz99NMSCoUi+4cXNMDR7V27dpWJEyfK+PHjTVClee+//354\nt4Sfa9eulSFDhoh+khBAAAEEEECgaQGeIDXtw1YEEEAgoYDL5ZLnn3/ePA3q0KFD3D5LliyJ\ny4vOuOeee6R79+4mq66uTvbt2yd6zNVXXy0//OEPZc6cOZHdNSg744wzpLS0VObNm2eeHOmT\npBdeeEGWL18uZ511lmzcuFFGjhwZOSa8sHnzZrn22mslGAyGs/hEAAEEEEAAgSYECJCawGET\nAgggkEzg7LPPlr/97W+yatUq+fa3vx23mwY7I0aMkO3bt8dt04wZM2bI4MGDY7bdfvvt8o1v\nfEPmzp0rU6ZMkfPOO89sf/bZZ6W6uloWLFhgAqjwQVdccYWMGzdOZs6cKX/84x/lV7/6VXiT\naND1ox/9SB544AETWEU2sIAAAggggAACTQrQxa5JHjYigAACiQXOOecc6dOnj+kS13iPN998\n03R70yc36aS+ffvKunXrRJ9O3XHHHZFDw13oTjnllEheeEGDs+uvvz7uXSgNlu6//34TPP3h\nD38I784nAggggAACCDQjQIDUDBCbEUAAgUQCOqDCtGnTZM2aNXGDLujTI33nR98PSjf17t1b\nLrjgAnn77bfNAA96vL5zpOmmm26S119/PZKveV6vVxYvXix33323rkbS2LFjZcuWLfL73/8+\nMkBEZCMLCCCAAAIIIJBUgAApKQ0bEEAAgaYFrrnmGtOVTbvZhZNlWaKDMqT79Ch8vH4OHDhQ\nampq5JNPPjHZ2pXurrvuMu8ZaeCj7y5dd911psvd3r17ow+NLE+aNElOPfXUyDoLCCCAAAII\nIJCaAAFSak7shQACCMQJjBkzxoxIFz1Knb6XpMN7awDT0lRWVmYODQ8nrl3ufv7zn8vLL78s\ns2bNMu8U6VOq2bNni3bL00EdGIShpdochwACCCCAQKwAAVKsB2sIIIBAWgI66pyOJnf06FFz\nnAYuo0ePNl3s0jpR1M67d+82a/qOU3Q6//zz5ZFHHhEd1U7fS5o/f7587WtfM+8aTZ8+PXpX\nlhFAAAEEEECghQIESC2E4zAEEEBABcLd7FauXGme4ug8Rpk8PdJzfvDBB+Lz+UTfR9LR6HT+\nIn0nKToNGjRIbr75Ztm6dasZ7U5Hujty5Ej0LiwjgAACCCCAQAsECJBagMYhCCCAQFhAB2LQ\nYEXnI9qwYYMcOHDABE3h7el+6nxG27Ztk8mTJ4sOBOHxeMzQ3rfddlvCU5WUlIi+b+T3+yX8\n5CnhjmQigAACCCCAQEoCBEgpMbETAgggkFwg3M1u0aJFosN/9+vXL/nOTWzRrnO33HKL2ePO\nO+80n0VFRSZY0uDr8ccfjztau/atWLFCevbsKYmGAY87gAwEEEAAAQQQaFKAiWKb5GEjAggg\n0LyAdrPTQRQ0gJk3b17zB9h7zJkzRyoqKsy+hw4dMgM7vPrqq1JbW2smd9XR6sLpxz/+sWze\nvNlMLqvX0MlhdXCG9957T5YuXWpGu9N3k3QwBxICCCCAAAIIZCZAgJSZH0cjgAACMmrUKBk6\ndKgZOEHnRkolPfroo5HdSktLzftGU6ZMMU+Qxo8fH9mmCzqn0qZNm8y2V155xQwKofn6npI+\nNdLg6KKLLtIsEgIIIIAAAghkKOCy5+ywMjwHhyOAAAIItKFAdXW1fPrpp2YEu+Li4ja8MpdC\nAAEEEECg8AUIkAq/jakhAggggAACCCCAAAIIpCjAIA0pQrEbAggggAACCCCAAAIIFL4AAVLh\ntzE1RAABBBBAAAEEEEAAgRQFCJBShGI3BBBAAAEEEEAAAQQQKHwBAqTCb2NqiAACCCCAAAII\nIIAAAikKECClCMVuCCCAAAIIIIAAAgggUPgCBEiF38bUEAEEEEAAAQQQQAABBFIUIEBKEYrd\nEEAAAQQQQAABBBBAoPAFCJAKv42pIQIIIIAAAggggAACCKQoQICUIhS7IYAAAggggAACCCCA\nQOELECAVfhtTQwQQQAABBBBAAAEEEEhRgAApRSh2QwABBBBAAAEEEEAAgcIX+H9EZCKIMC+5\nvAAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ggplot(nmds_w_meta, aes(x=MDS1, y=MDS2, color=`Serum or Plasma`)) + geom_point()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "bc425e76-f5ed-41f3-88fe-bdcdf2a44c2d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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4M1G/HlsQQAABBJJRgL98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2Io4iQTh4m9Mov9Gv+v9ENU1g8wb+L1ufif8d8igGpPQNflKC1W6opaS5/gKRxshJ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\nIEDKh6tMGxFAAAEEEEAAAQQQQKBDAv8fJ9BlW2nPsHIAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ggplot(nmds_w_meta, aes(x=MDS1, y=MDS2, color=Method)) + geom_point()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "83618955-aac3-4343-865f-c24751f3fcd1",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "R",
   "language": "R",
   "name": "ir"
  },
  "language_info": {
   "codemirror_mode": "r",
   "file_extension": ".r",
   "mimetype": "text/x-r-source",
   "name": "R",
   "pygments_lexer": "r",
   "version": "4.1.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
